Abdulkadiroğlu, A. 2013. School Choice. In Oxford Handbook of Market Design, 138-169. New York: Oxford University Press.
Abdulkadiroğlu, A. and Sönmez, T. 1998. Random Serial Dictatorship and the Core from Random Endowments in House Allocation Problems. Econometrica, 66(3), 689-701.
Abdulkadiroğlu, A. and Sönmez, T. 1999. House Allocation with Existing Tenants. Journal of Economic Theory, 88, 233-260.
Abdulkadiroğlu, A. and Sönmez, T. 2003. School Choice: A Mechanism Design Approach. American Economic Review, 93(3), 729-747.
Abdulkadiroğlu, A.Pathak, P. A., Roth, A. E., and Sönmez, T. 2005a. The Boston Public School Match. American Economic Review, 95(2), 368-371.
Abdulkadiroğlu, A., Pathak, P. A., and Roth, A. E. 2005b. The New York City High School Match. American Economic Review, 95(2), 364-367.
Abraham, D. J., Cechlárová, K., Manlove, D. R, and Mehlhorn, K. 2004. Pareto Optimality in House Allocation Problems. In Proceedings of the 15th Annual International Symposium on Algorithms and Computation (ISAAC), 3-15. New York: Springer.
Abraham, D. J., Blum, A., and Sandholm, T. 2007a. Clearing Algorithms for Barter Exchange Markets: Enabling Nationwide Kidney Exchanges. In Proceedings of the 8th ACM Conference on Electronic Commerce (EC), 295-304. New York: ACM.
Abraham, D. J., Irving, R. W., Kavitha, T., and Mehlhorn, K. 2007b. Popular Matchings. SIAM Journal on Computing, 37, 1030-1045.
Ackermann, H., Goldberg, P. W., Mirrokni, V. S., Roglin, H., and Vocking, B. 2011. Uncoordinated Two-Sided Matching Markets. SIAM Journal on Computing, 40(1), 92-106.
Aharoni, R. and Fleiner, T. 2003. On a Lemma of Scarf. Journal of Combinatorial Theory, Series B, 87, 72-80.
Ahn, D. S. and Oliveros, S. 2012. Combinatorial Voting. Econometrica, 80(1), 89-141.
Ailon, N., Charikar, M., and Newman, A. 2005. Aggregating Inconsistent Information: Ranking and Clustering. In Proceedings of the 37th ACM Symposium on Theory of Computing (STOC), 684-693. New York: ACM.
Ailon, N., Charikar, M., and Newman, A. 2008. Aggregating Inconsistent Information: Ranking and Clustering. Journal of the ACM, 55(5), 1-27.
Airiau, S. and Endriss, U. 2009. Iterated Majority Voting. In Proceedings of the 1st International Conference on Algorithmic Decision Theory (ADT), 38-49. New York: Springer.
Airiau, S., Endriss, U., Grandi, U., Porello, D., and Uckelman, J. 2011. Aggregating Dependency Graphs into Voting Agendas in Multi-issue Elections. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 18-23. Palo Alto, CA: AAAI.
Aizerman, M. and Aleskerov, F. 1995. Theory of Choice.Amsterdam: North-Holland.
Alcalde, J. and Barberà, S. 1994. Top Dominance and the Possibility of Strategy-Proof Stable Solutions to Matching Problems. Economic Theory, 4(3), 417-35.
Alcalde, J. and Revilla, P. 2004. Researching with Whom? Stability and Manipulation. Journal of Mathematical Economics, 40(8), 869-887.
Aleskerov, F. and Kurbanov, E. 1999. Degree of Manipulability of Social Choice Procedures. In Current Trends in Economics: Studies in Economic Theory Volume 8, 13-27. New York: Springer.
Ali, A. and Meilă, M. 2012. Experiments with Kemeny Ranking: What Works When?Mathematical Social Sciences, 64(1), 28-40.
Alkan, A., Demange, G., and Gale, D. 1991. Fair Allocation of Indivisible Goods and Criteria of Justice. Econometrica, 59(4), 1023-1039.
Alon, N. 1987. Splitting Necklaces. Advances in Mathematics, 63, 241-253.
Alon, N. 2006. Ranking Tournaments. SIAM Journal on Discrete Mathematics, 20(1), 137-142.
Alon, N. and Spencer, J. 2008. The Probabilistic Method. 3rd ed. New York: John Wiley.
Alon, N., Fischer, F. A., Procaccia, A. D., and Tennenholtz, M. 2011. Sum of Us: Strategyproof Selection from the Selectors. In Proceedings of the Conference on Theoretical Aspects of Rationality and Knowledge (TARK), 101-110. New York: ACM.
Alon, N., Falik, D., Meir, R., and Tennenholtz, M. 2013. Bundling Attacks in Judgment Aggregation. In Proceedings of the 27th AAAI Conference on Artificial Intelligence, 39-45. Palo Alto, CA: AAAI.
Alonso-Meijide, J. M., Freixas, J., and Molinero, X. 2012. Computation of Several Power Indices by Generating Functions. Applied Mathematics and Computation, 219(8), 3395-3402.
Altman, A. and Tennenholtz, M. 2005. Ranking Systems: The Pagerank Axioms. In Proceedings of the 6th ACM Conference on Electronic Commerce (EC), 1-8. New York: ACM.
Altman, A. and Tennenholtz, M. 2006. Quantifying Incentive Compatibility of Ranking Systems. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), 586-591. Palo Alto, CA: AAAI.
Altman, A. and Tennenholtz, M. 2007. Incentive Compatible Ranking Systems. In Proceedings of the 6th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 546-553. IFAAMAS.
Altman, A. and Tennenholtz, M. 2008. Axiomatic Foundations for Ranking Systems. Journal of Artificial Intelligence Research (JAIR), 31, 473-495.
Altman, A. and Tennenholtz, M. 2010. An Axiomatic Approach to Personalized Ranking Systems. Journal of the ACM, 57(4), 1-35.
Altman, A., Procaccia, A. D., and Tennenholtz, M. 2009. Nonmanipulable Selections from a Tournament. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 27-32. Palo Alto: AAAI.
Ambos-Spies, K. 1986. Randomness, Relativization, and Polynomial Reducibilities. Proceedings of the 1st Structure in Complexity Theory Conference, 23-34. New York: Springer.
Amer-Yahia, S., Roy, S. B., Chawlat, A., Das, G., and Yu, C. 2009. Group Recommendation: Semantics and Efficiency. Proceedings of the VLDB Endowment, 2(1), 754-765.
Andersen, R., Borgs, C, Chayes, J., Feige, U., Flaxman, A., Kalai, A., Mirrokni, V., and Tennenholtz, M. 2008. Trust-Based Recommendation Systems: An Axiomatic Approach. In Proceedings of the 17th International Conference on the World Wide Web, 199-208. New York: ACM.
Ángel Ballester, M. and Rey-Biel, P. 2009. Does Uncertainty Lead to Sincerity? Simple and Complex Voting Mechanisms. Social Choice and Welfare, 33(3), 477-494.
Anshelevich, E., Dasgupta, A., Kleinberg, J. M., Tardos, É., Wexler, T., and Roughgarden, T. 2004. The Price of Stability for Network Design with Fair Cost Allocation. In Proceedings of the 45th Annual Symposium on Foundations of Computer Science (FOCS), 295-304. New York: IEEE.
Apesteguia, J., Ballester, M. A., and Masatlioglu, Y. 2014. A Foundation for Strategic Agenda Voting. Games and Economic Behavior, 87, 91-99.
Arora, S. and Barak, B. 2009. Computational Complexity: A Modern Approach.Cambridge: Cambridge University Press.
Arrow, K. J. 1950. A Difficulty in the Concept of Social Welfare. Journal of Political Economy, 58, 328-346.
Arrow, K. J. 1951. Social Choice and Individual Values, lsted.New Haven, CT: Cowles Foundation.
Arrow, K. J. 1963. Social Choice and Individual Values. 2nd ed. New York: John Wiley.
Arrow, K. J. and Raynaud, H. 1986. Social Choice and Multicriterion Decision-Making. Cambridge, MA: MIT Press.
Arrow, K. J., Sen, A. K., and Suzumura, K., eds. 2002. Handbook of Social Choice and Welfare. Vol. 1. Amsterdam: North-Holland.
Arrow, K. J., Sen, A. K., and Suzumura, K., eds. 2010. Handbook of Social Choice and Welfare. Vol. 2. Amsterdam: North-Holland.
Arzi, O., Aumann, Y, and Dombb, Y 2011. Throw One's Cake—and Eatlt Too.In Proceedings of the 4th International Symposium on Algorithmic Game Theory (SAGT), 69-80. New York: Springer.
Asadpour, A. and Saberi, A. 2010. An Approximation Algorithm for Max-min Fair Allocation of Indivisible Goods. SI AM Journal on Computing, 39(7), 2970-2989.
Ashlagi, I. and Roth, A. E. 2012. New Challenges in Multihospital Kidney Exchange. American Economic Review, 102(3), 354-359.
Ashlagi, I., Braverman, M., and Hassidim, A. 2014. Stability in Large Matching Markets with Complementarities. Operations Research, 62(4), 713-732.
Aumann, Y and Dombb, Y 2010. The Efficiency of Fair Division with Connected Pieces. In Proceedings of the 6th International Conference on Web and Internet Economics (WINE), 26-37. New York: Springer.
Aumann, R. J. and Maschler, M. 1985. Game Theoretic Analysis of a Bankruptcy Problem from the Talmud. Journal of Economic Theory, 36(2), 195-213.
Aumann, Y, Dombb, Y, and Hassidim, A. 2013. Computing Socially-Efficient Cake Divisions. In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 343-350. Richland, SC: IFAAMAS.
Ausiello, G., Crescenzi, P., Gambosi, G., Kann, V, Marchetti-Spaccamela, A., and Protasi, M. 1999. Complexity and Approximation: Combinatorial Optimization Problems and their Approximability Properties.New York: Springer.
Austen-Banks, D. and Smith, J. S. 1994. Information Aggregation, Rationality, and the Condorcet Jury Theorem. American Political Science Review, 90(1), 34-45.
Austen-Smith, D. and Banks, J. S. 2000. Positive Political Theory I: Collective Preference.Ann Arbor: University of Michigan Press.
Austen-Smith, D. and Banks, J. S. 2005. Positive Political Theory II: Strategy and Structure.Ann Arbor: University of Michigan Press.
Aziz, H. 2013. Stable Marriage and Roommate Problems with Individual-Based stability. In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 287-294. Richland, SC: IFAAMAS.
Aziz, H. 2014. A Note on the Undercut Procedure. In Proceedings of the 13th International Con-ference on Autonomous Agents and Multiagent Systems (AAMAS), 1361-1362. Richland, SC: IFAAMAS.
Aziz, H. and Brandl, R 2012. Existence of Stability in Hedonic Coalition Formation Games. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 763-770. Richland, SC: IFAAMAS.
Aziz, H. and de Keijzer, B. 2011. Complexity of Coalition Structure Generation. In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 191-198. Richland, SC: IFAAMAS.
Aziz, H. and Mestre, J. 2014. Parametrized Algorithms for Random Serial Dictatorship. Mathematical Social Sciences, 72, 1-6.
Aziz, H. and Stursberg, P. 2014. A Generalization of Probabilistic Serial to Randomized Social Choice. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 559-565. Palo Alto, CA: AAAI.
Aziz, H. and Ye, C. 2014. Cake Cutting Algorithms for Piecewise Constant and Piecewise Uniform Valuations. In Proceedings of the 10th International Conference on Web and Internet Economics (WINE), 1-14. New York: Springer.
Aziz, H., Bachrach, Y, Elkind, E., and Paterson, M. S. 2011. False-Name Manipulations in Weighted Voting Games. Journal of Artificial Intelligence Research (JAIR), 40, 57-93.
Aziz, H., Harrenstein, P., and Pyrga, E. 2012a. Individual-Based Stability in Hedonic Games Depending on the Best or Worst Players. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1311-1312. Richland, SC: IFAAMAS.
Aziz, H., Brill, M., Fischer, E, Harrenstein, P., Lang, J., and Seedig, H. G. 2012b. Possible and Necessary Winners of Partial Tournaments. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 585-592. Richland, SC: IFAAMAS.
Aziz, H., Brandt, E, and Brill, M. 2013a. The Computational Complexity of Random Serial Dictatorship. Economics Letters, 121(3), 341-345.
Aziz, H., Brandt, E, and Seedig, H. G. 2013b. Computing Desirable Partitions in Additively Separable Hedonic Games. Artificial Intelligence, 195, 316-334.
Aziz, H., Brandt, E, and Stursberg, P. 2013c. On Popular Random Assignments. In Proceedings of the 6th International Symposium on Algorithmic Game Theory (SAGT), 183-194. New York: Springer.
Aziz, H., Brandt, E, and Brill, M. 2013d. On the Tradeoff between Economic Efficiency and Strategyproofness in Randomized Social Choice. In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 455-462. Richland, SC: IFAAMAS.
Aziz, H., Brandt, E, and Harrenstein, P. 2013e. Pareto Optimality in Coalition Formation.Games and Economic Behavior, 82, 562-581.
Aziz, H., Gaspers, S., Mattei, N., Narodytska, N., and Walsh, T. 2013f. Ties Matter: Complexity of Manipulation when Tie-breaking with a Random Vote. In Proceedings of the 27th AAAI Conference on Artificial Intelligence, 74-80. New York: AAAI.
Aziz, H., Harrenstein, P., Lang, J., and Wooldridge, M. 2014a. Boolean Hedonic Games. In Proceedings of the 11th Conference of Logic and the Foundations of Game and Decision Theory (LOFT).
Aziz, H., Brandt, E, and Harrenstein, P. 2014b. Fractional Hedonic Games. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 5-12. Richland, SC: IFAAMAS.
Aziz, H., Brandl, E, and Brandt, E 2014c. On the Incompatibility of Efficiency and Strategyproofness in Randomized Social Choice. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 545-551. New York: AAAI.
Aziz, H., Gaspers, S., Mackenzie, S., and Walsh, T. 2014d. Fair Assignment of Indivisible Objects Under Ordinal Preferences. In Proceedings of the 13 th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1305-1312. Richland, SC: IFAAMAS.
Aziz, H., Gaspers, S., Mackenzie, S., and Mattei, N. 2014e. Fixing a Balanced Knockout Tournament. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 552-558. Palo Alto, CA: AAAI.
Babaioff, M., Dobzinski, S., Oren, S., and Zohar, A. 2012. On Bitcoin and Red Balloons. In Proceedings of the 13th ACM Conference on Electronic Commerce (EC), 56-73. New York: ACM.
Bacchus, R and Grove, A. 1995. Graphical Models for Preference and Utility. In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 3-10. New York: Morgan Kaufmann.
Bachmeier, G., Brandt, R, Geist, C, Harrenstein, P., Kardel, K., and Seedig, H. G. 2014. k-Majority Digraphs and the Hardness of Voting with a Constant Number of Voters. Working paper.
Bachrach, Y and Shah, N. 2013. Reliability Weighted Voting Games. In Proceedings of the 6th International Symposium on Algorithmic Game Theory (SAGT), 38-49. New York: Springer.
Bachrach, Y, Markakis, E., Resnick, E., Procaccia, A. D., Rosenschein, J. S., and Saberi, A. 2010a. Approximating Power Indices: Theoretical and Empirical Analysis. Autonomous Agents and Multi-Agent Systems, 20(2), 105-122.
Bachrach, Y, Betzler, N., and Paliszewski, P. 2010b. Probabilistic Possible Winner Determination. In Proceedings of the AAAI Conference on Artificial Intelligence, 697-702. Palo Alto, CA: AAAI.
Bachrach, Y, Elkind, E., and Paliszewski, P. 2011. Coalitional Voting Manipulation: A Game-Theoretic Perspective. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 49-54. Palo Alto, CA: AAAI.
Baharad, E., Koppel, M., Goldberger, J., and Nitzan, S. 2011. Distilling the Wisdom of Crowds: Weighted Aggregation of Decisions on Multiple Issues. Journal of Autonomous Agents and Multi-Agent Systems, 22, 31-42.
Baharad, E., Koppel, M., Goldberger, J., and Nitzan, S. 2012. Beyond Condorcet: Optimal Judgment Aggregation Using Voting Records. Theory and Decision, 72, 113-130.
Baigent, N. 1987. Metric Rationalisation of Social Choice Punctions According to Principles of Social Choice. Mathematical Social Sciences, 13(1), 59-65.
Baïou, M. and Balinski, M. 2000. Many-To-Many Matching: Stable Polyandrous Polygamy (or Polygamous Polyandry). Discrete Applied Mathematics, 101, 1-12.
Bakos, Y and Dellarocas, C. N. 2003. Cooperation without Enforcement? A Comparative Analysis of Litigation and Online Reputation as Quality Assurance Mechanisms. MIT Sloan School of Management Working Paper No. 4295-03.
Baldiga, K. A. and Green, J. R. 2013. Assent-Maximizing Social Choice. Social Choice and Welfare, 40(2), 439-460.
Baldwin, J. M. 1926. The Technique of the Nanson Preferential Majority System of Election. Transactions and Proceedings of the Royal Society of Victoria, 39, 42-52.
Balinski, M. L. and Demange, G. 1989. Algorithms for Proportional Matrices in Reals and Integers. Mathematical Programming, 45(1-3), 193-210.
Balinski, M. L. and Laraki, R. 2010. Majority Judgment: Measuring, Ranking, and Electing. Cambridge, MA: MIT Press.
Balinski, M. L. and Sönmez, T. 1999. A Tale of Two Mechanisms: Student Placement. Journal of Economic Theory, 84(1), 73-94.
Balkanski, E., Brânzei, S., Kurokawa, D., and Procaccia, A. D. 2014. Simultaneous Cake Cutting. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 566-572. Palo Alto, CA: AAAI.
Ballester, C. 2004. NP-Completeness in Hedonic Games. Games and Economic Behavior, 49(1), 1-30.
Banerjee, S., Konishi, PL, and Sönmez, T. 2001. Core in a Simple Coalition Pormation Game. Social Choice and Welfare, 18, 135-153.
Banks, J. S. 1985. Sophisticated Voting Outcomes and Agenda Control. Social Choice and Welfare, 1(4), 295-306.
Banks, J. S. and Bordes, G. A. 1988. Voting Games, Indifference, and Consistent Sequential Choice Rules. Social Choice and Welfare, 5, 31-44.
Banks, J. S., Duggan, J., and Le Breton, M. 2006. Social Choice and Electoral Competition in the General Spatial Model. Journal of Economic Theory, 126, 194—234.
Bansal, N. and Sviridenko, M. 2006. The Santa Claus problem. In Proceedings of the 38th ACM Symposium on Theory of Computing (STOC), 31-40. New York: ACM.
Bansal, V., Agrawal, A., and Malhotra, V. S. 2007. Polynomial Time Algorithm for an Optimal Stable Assignment with Multiple Partners. Theoretical Computer Science, 379(3), 317-328.
Banzhaf, J. R 1965. Weighted Voting Doesn't Work: A Mathematical Analysis. Rutgers Law Review, 19,317-343.
Baral, C, Kraus, S., Minker, J., and Subrahmanian, V S. 1992. Combining Knowledge Bases Consisting of First-Order Theories. Computational Intelligence, 8(1), 45-71.
Barbanel, J. B. 2005. The Geometry of Efficient Fair Division. New York: Cambridge University Press.
Barberà, S. 1979. Majority and Positional Voting in a Probabilistic Framework. Review of Economic Studies, 46(2), 379-389.
Barberà, S. 2011. Strategyproof Social Choice. Handbook of Social Choice and Welfare, 2, 731-831.
Barberà, S. and Gerber, A. 2007. A Note on the Impossibility of a Satisfactory Concept of Stability for Coalition Formation Games. Economic Letters, 95, 85-90.
Barberà, S. and Peleg, B. 1990. Strategy-Proof Voting Schemes with Continuous Preferences. Social Choice and Welfare, 7, 31-38.
Barberà, S., Sonnenschein, H., and Zhou, L. 1991. Voting by Committees. Econometrica, 59(3), 595-609.
Barberà, S., Gul, R, and Stacchetti, E. 1993. Generalized Median Voter Schemes and Committees. Journal of Economic Theory, 61(2), 262-289.
Barberà, S., Dutta, B., and Sen, A. 2001. Strategy-Proof Social Choice Correspondences. Journal of Economic Theory, 101(2), 374-394.
Barberà, S., Bossert, W., and Pattanaik, P. K. 2004. Ranking Sets of Objects. In Handbook of Utility Theory, Vol. II: Extensions, 893-977. New York: Kluwer Academic.
Barthelemy, J. P. and Monjardet, B. 1981. The Median Procedure in Cluster Analysis and Social Choice Theory. Mathematical Social Sciences, 1, 235-267.
Bartholdi, J. and Orlin, J. B. 1991. Single Transferable Vote Resists Strategic Voting. Social Choice and Welfare, 8(4), 341-354.
Bartholdi, J., Tovey, C, and Trick, M. 1989a. The Computational Difficulty of Manipulating an Election. Social Choice Welfare, 6, 227-241.
Bartholdi, J., Tovey, C, and Trick, M. 1989b. Voting Schemes for Which it Can Be Difficult to Tell Who Won the Election. Social Choice and Welfare, 6(2), 157-165.
Bartholdi, J., Tovey, C, and Trick, M. 1992. How Hard Is It to Control an Election? Mathematical and Computer Modeling, 16(8/9), 27-40.
Bauer, E. and Kohavi, R. 1999. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Machine Learning, 36(1-2), 105-139.
Baumeister, D. and Rothe, J. 2010. Taking the Final Step to a Full Dichotomy of the Possible Winner Problem in Pure Scoring Rules. In Proceedings of the 19th European Conference on Artificial Intelligence (ECAI), 1019-1020. Amsterdam: IOS.
Baumeister, D. and Rothe, J. 2012. Taking the Final Step to a Full Dichotomy of the Possible Winner Problem in Pure Scoring Rules. Information Processing Letters, 112(5), 186-190.
Baumeister, D. and Rothe, J. 2015. Preference Aggregation by Voting. In Economics and Computation: An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division, ed. Rothe, J., Chapter 4, 197-325. New York: Springer.
Baumeister, D., Erdélyi, G., Hemaspaandra, E., Hemaspaandra, L., and Rothe, J. 2010. Computational Aspects of Approval Voting. In Handbook on Approval Voting, ed. Laslier, J.-E, and Sanver, M. R., 199-251. New York: Springer.
Baumeister, D., Erdélyi, G., and Rothe, J. 2011. How Hard Is It to Bribe the Judges? A Study of the Complexity of Bribery in Judgment Aggregation. In Proceedings of the 2nd International Conference on Algorithmic Decision Theory (ADT), 1-15. New York: Springer.
Baumeister, D., Faliszewski, P., Lang, J., and Rothe, J. 2012a. Campaigns for Lazy Voters: Truncated B allots. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 577-584. Richland, SC: IFAAMAS.
Baumeister, D., Erdélyi, G., Erdélyi, O., and Rothe, J. 2012b. Control in Judgment Aggregation. In Proceedings of the 6th European Starting AI Researcher Symposium (STAIRS), 23-34. Amsterdam: IOS Press.
Baumeister, D., Roos, M., Rothe, J., Schend, L., and Xia, L. 2012c. The Possible Winner Problem with Uncertain Weights. In Proceedings of the 20th European Conference on Artificial Intelligence (ECAI), 133-138. Amsterdam: IOS Press.
Baumeister, D., Brandt, E, Fischer, E, Hoffmann, J., and Rothe, J. 2013a. The Complexity of Computing Minimal Unidirectional Covering Sets. Theory of Computing Systems, 53(3), 467-502.
Baumeister, D., Erdélyi, G., Erdélyi, O., and Rothe, J. 2013b. Computational Aspects of Manipulation and Control in Judgment Aggregation. In Proceedings of the 3rd International Conference on Algorithmic Decision Theory (ADT), 71-85. New York: Springer.
Baumeister, D., Erdélyi, G., and Rothe, J. 2015. Judgment Aggregation. In Economics and Computation: An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division, ed. Rothe, J., Chapter 6, 361-391. New York: Springer.
Beaujard, A., Igersheim, H., Lebon, I., Gavrel, E, and Laslier, J.-E 2014. Evaluative Voting: An Experiment During the 2012 French Presidential Election. Electoral Studies, 34, 131-145.
Bei, X., Chen, N., Hua, X., Tao, B., and Yang, E. 2012. Optimal Proportional Cake Cutting with Connected Pieces. In Proceedings of the 26th AAAI Conference on Artificial Intelligence, 1263—1269. Palo Alto, CA: AAAI.
Ben-Yashar, R. C. and Nitzan, S. 1997. The Optimal Decision Rule for Fixed-Size Committees in Dichotomous Choice Situations: The General Result. International Economic Review, 38(1), 175-186.
Ben-Yashar, R. C. and Paroush, J. 2001. Optimal Decision Rules for Fixed-Size Committees in Polychotomous Choice Situations. Social Choice and Welfare, 18(4), 737-746.
Benoît, J.-P. and Kornhauser, L. A. 1991. Voting Simply in the Election of Assemblies. Technical report 91-32. C.V Starr Center for Applied Economics.
Benoît, J.-P. and Kornhauser, L. A. 2010. Only a Dictatorship is Efficient. Games and Economic Behavior, 70(2), 261-270.
Berg, S. 1985. Paradox of Voting Under an Urn Model: The Effect of Homogeneity. Public Choice, 47, 377-387.
Berg, S. 1993a. Condorcet's Jury Theorem, Dependency Among Jurors. Social Choice and Welfare, 10(1), 87-95.
Berg, S. 1993b. Condorcet's Jury Theorem Revisited. European Journal of Political Economy, 9(3), 437-446.
Berghammer, R. 2014. Computing Minimal Extending Sets by Relation-algebraic Modeling and Development. Journal on Logic and Algebraic Programming, 83(2), 103-119.
Berghammer, R., Rusinowska, A., and de Swart, H. 2013. Computing Tournament Solutions Using Relation Algebra and RelView. European Journal of Operational Research, 226(3), 636-645.
Bertsimas, D., Farias, V E, and Trichakis, N. 2011. The Price of Fairness. Operations Research, 59(1), 17-31.
Bervoets, S., Merlin, V., and Woeginger, G. J. 2015. Vote Trading and Subset Sums. Operations Research Letters, 43(1), 99-102.
Betzler, N. and Dorn, B. 2010. Towards a Dichotomy for the Possible Winner Problem in Elections Based on Scoring Rules. Journal of Computer and System Sciences, 76(8), 812-836.
Betzler, N. and Uhlmann, J. 2009. Parameterized Complexity of Candidate Control in Elections and Related Digraph Problems. Theoretical Computer Science, 410(52), 5425-5442.
Betzler, N., Fellows, M. R., Guo, J., Niedermeier, R., and Rosamond, F. A. 2009. Fixed-Parameter Algorithms for Kemeny Rankings. Theoretical Computer Science, 410(45), 4554—4570.
Betzler, N., Guo, J., and Niedermeier, R. 2010. Parameterized Computational Complexity of Dodgson and Young Elections. Information and Computation, 208(2), 165-177.
Betzler, N., Niedermeier, R., and Woeginger, G. J. 2011. Unweighted Coalitional Manipulation Under the Borda Rule Is NP-Hard. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 55-60. Palo Alto, CA: AAAI.
Betzler, N., Bredereck, R., Chen, J., and Niedermeier, R. 2012. Studies in Computational Aspects of Voting—A Parameterized Complexity Perspective. In The Multivariate Algorithmic Revolution and Beyond, 318-363. New York: Springer.
Betzler, N., Slinko, A., and Uhlmann, J. 2013. On the Computation of Fully Proportional Representation. Journal of Artificial Intelligence Research (JAIR), 47, 475-519.
Betzler, N., Bredereck, R., and Niedermeier, R. 2014. Theoretical and Empirical Evaluation of Data Reduction for Exact Kemeny Rank Aggregation. Autonomous Agents and Multi-Agent Systems, 28(5), 721-748.
Beviá, C. 1998. Fair Allocation in a General Model with Indivisible Goods. Review of Economic Design, 3, 195-213.
Bezáková, I. and Dani, V 2005. Allocating Indivisible Goods. SIGecom Exchanges, 5(3), 11-18.
Bhalgat, A., Chakraborty, T., and Khanna, S. 2010. Approximating Pure Nash Equilibrium in Cut, Party Affiliation, and Satisfiability Games. In Proceedings of the 11th ACM Conference on Electronic Commerce (EC), 73-82. New York: ACM.
Biedl, T., Brandenburg, F. J., and Deng, X. 2009. On the Complexity of Crossings in Permutations. Discrete Mathematics, 309(7), 1813-1823.
Bilbao, J. M., Fernández, J. R., Jiminéz, N., and Lopez, J. J. 2002. Voting Power in the European Union Enlargement. European Journal of Operational Research, 143, 181-196.
Bilò, V, Fanelli, A., Flammini, M., Monaco, G., and Moscardelli, L. 2014. Nash Stability in Fractional Hedonic Games. In Proceedings of the 10th International Conference on Web and Internet Economics (WINE), 486-191. New York: Springer.
Binkele-Raible, D., Erdélyi, G., Fernau, H., Goldsmith, J., Mattei, N., and Rothe, J. 2014. The Complexity of Probabilistic Lobbying. Discrete Optimization, 11(1), 1-21.
Biró, P. and Klijn, F. 2013. Matching with Couples: A Multidisciplinary Survey. International Game Theory Review, 15, 1-18.
Biró, P., Irving, R. W., and Schlotter, I. 2011. Stable Matching with Couples: An Empirical Study. ACM Journal of Experimental Algorithmics, 16, 1-27.
Birrell, E. and Pass, R. 2011. Approximately Strategy-Proof Voting. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 67-72. Palo Alto, CA: AAAI.
Bistarelli, S., Fargier, H., Montanari, U., Rossi, E, Schiex, T., and Verfaillie, G. 1999. Semiring-Based CSPs and Valued CSPs: Frameworks, Properties and Comparison. Constraints, 4(3), 199-240.
Björklund, A., Husfeldt, T., Kaski, P., and Koivisto, M. 2007. Fourier Meets Möbius: Fast Subset Convolution. In Proceedings of the ACM Symposium on Theory of Computing (STOC), 67-74. New York: ACM.
Black, D. 1948. On the Rationale of Group Decision-Making. Journal of Political Economy, 56(1), 23-34.
Black, D. 1958. The Theory of Committees and Elections.New York: Cambridge University Press.
Blais, A., Massicotte, L., and Dobrzynska, A. 1997. Direct Presidential Elections: A World Summary. Electoral Studies, 16, 441-455.
Bogomolnaia, A. and Jackson, M. O. 2002. The Stability of Hedonic Coalition Structures. Games and Economic Behavior, 38(2), 201-230.
Bogomolnaia, A. and Moulin, H. 2001. A New Solution to the Random Assignment Problem. Journal of Economic Theory, 100, 295-328.
Bogomolnaia, A., Moulin, H., and Stong, R. 2005. Collective Choice Under Dichotomous Preferences. Journal of Economic Theory, 122(2), 165-184.
Booth, R., Chevaleyre, Y., Lang, J., Mengin, J., and Sombattheera, C. 2010. Learning Conditionally Lexicographic Preference Relations. In Proceedings of the European Conference on Artificial Intelligence (ECAI), 269-274. Amsterdam: IOS Press.
Borda, J.-C. Chevalier de. 1781. Memoire sur les Elections au Scrutin. Paris: Histoire de l'Academie Royale des Sciences.
Bordes, G. 1976. Consistency, Rationality and Collective Choice. Review of Economic Studies, 43(3), 451-457.
Bordes, G. 1979. Some More Results on Consistency, Rationality and Collective Choice. In Aggregation and Revelation of Preferences, ed. Laffont, J. J., 175-197. Amsterdam: North-Holland.
Bossert, W. and Suzumura, K. 2010. Consistency, Choice, and Rationality. Cambridge, MA: Harvard University Press.
Boutilier, C. 2013. Computational Decision Support: Regret-based Models for Optimization and Preference Elicitation. In Comparative Decision Making: Analysis and Support across Disciplines and Applications, ed. Crowley, P. H., and Zentall, T. R., 423-453. Oxford: Oxford University Press.
Boutilier, C. and Procaccia, A. D. 2012. A Dynamic Rationalization of Distance Rationalizability. In Proceedings of the 26th AAAI Conference on Artificial Intelligence, 1278-1284. Palo Alto, CA: AAAI.
Boutilier, C, Brafman, R. I., Hoos, H. H., and Poole, D. 1999. Reasoning with Conditional Ceteris Paribus Preference Statements. In Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence (UAI), 71-80. New York: Morgan Kaufmann.
Boutilier, C, Bacchus, E, and Brafman, R. I. 2001. UCP-Networks: A Directed Graphical Represen-tation of Conditional Utilities. In Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence (UAI), 56-64. New York: Morgan Kaufmann.
Boutilier, C, Brafman, R., Domshlak, C, Hoos, H., and Poole, D. 2004. CP-Nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Statements. Journal of Artificial Intelligence Research (JAIR), 21, 135-191.
Boutilier, C, Caragiannis, I., Haber, S., Lu, T., Procaccia, A. D., and Sheffet, Or. 2012. Optimal Social Choice Functions: A Utilitarian View. In Proceedings of the ACM Conference on Electronic Commerce (EC), 194-214. New York: ACM.
Boutilier, C, Lang, J., Oren, J., and Palacios, H. 2014. Robust Winners and Winner Determination Policies Under Candidate Uncertainty. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 1391-1397. Palo Alto, CA: AAAI.
Bouveret, S. and Lang, J. 2008. Efficiency and Envy-Freeness in Fair Division of Indivisible Goods: Logical Representation and Complexity. Journal of Artificial Intelligence Research (JAIR), 32, 525-564.
Bouveret, S. and Lang, J. 2011. A General Elicitation-Free Protocol for Allocating Indivisible Goods. In Proceedings of ‘the 22nd International Joint Conference on Artificial Intelligence (IJCAI)’, 73-78. Palo Alto, CA: AAAI.
Bouveret, S. and Lemaître, M. 2014. Characterizing Conflicts in Fair Division of Indivisible Goods Using a Scale of Criteria. In Proceedings of the 13th International Conference on Autonomous Agents andMultiagent Systems (AAMAS), 1321-1328. Richland, SC: IFAAMAS.
Bouveret, S., Fargier, H., Lang, J., and Lemaître, M. 2005. Allocation of Indivisible Goods: A General Model and some Complexity Results. In Proceedings of the 4th International Con-ference on Autonomous Agents and Multiagent Systems (AAMAS), 1309-1310. Richland, SC: IFAAMAS.
Bouveret, S., Endriss, U., and Lang, J. 2009. Conditional Importance Networks: A Graphical Language for Representing Ordinal, Monotonic Preferences over Sets of Goods. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), 67-72. Palo Alto, CA: AAAI.
Bouveret, S., Endriss, U., and Lang, J. 2010. Fair Division Under Ordinal Preferences: Computing Envy-Free Allocations of Indivisible Goods. In Proceedings of the 19th European Conference on Artificial Intelligence (ECAI), 387-392. Amsterdam: IOS Press.
Bouyssou, D. 2004. Monotonicity of “ranking by choosing”: A progress report. Social Choice and Welfare, 23(2), 249-273.
Bouyssou, D., Marchant, T., Pirlot, M., Tsoukias, A., and Vincke, P. 2006. Evaluation and Decision Models: Stepping Stones for the Analyst.New York: Springer.
Bovet, D. and Crescenzi, P. 1993. Introduction to the Theory of Complexity.Mahwah, NJ: Prentice
Hall. Bowman, C, Hodge, J., and Yu, A. 2014. The Potential of Iterative Voting to Solve the Separability Problem in Referendum Elections. Theory and Decision, 77(1), 111-124.
Bradley, W. J., Hodge, J. K., and Kilgour, D. 2005. Separable Discrete Preferences. Mathematical Social Science, 49(3), 335-353.
Brafman, R. I., Domshlak, C, and Shimony, S. E. 2006. On Graphical Modeling of Preference and Importance. Journal of Artificial Intelligence Research (JAIR), 25, 389—424.
Brams, S. J. 2008. Mathematics and Democracy.Princeton, NJ: Princeton University Press.
Brams, S. J. and Fishburn, P. C. 1978. Approval Voting.American Political Science Review, 72(3), 831-847.
Brams, S. J. and Fishburn, P. C. 2002. Voting Procedures. In Handbook of Social Choice and Welfare, vol. 1, ed. Arrow, K., Sen, A., and Suzumura, K., 173-236. New York: Elsevier.
Brams, S. J. and Fishburn, P. C. 2007. Approval Voting. Rev. ed. New York: Springer.
Brams, S. J. and King, D. 2005. Efficient Fair Division—Help the Worst off or Avoid Envy? Rationality and Society, 17(4), 387-21.
Brams, S. J. and Potthoff, R. F. 1998. Proportional Representation: Broadening the Options. Journal of Theoretical Politics, 10, 147-178.
Brams, S. J. and Sanver, M. R. 2006. Critical Strategies Under Approval Voting: Who Gets Ruled in and Ruled Out. Electoral Studies, 25(2), 287-305.
Brams, S. J. and Sanver, M. R. 2009. Voting Systems That Combine Approval and Preference. In The Mathematics of Preference, Choice, and Order: Essays in Honor of Peter C. Fishburn, ed. Brams, S. J., Gehrlein, W. V, and Roberts, E, 215-237. New York: Springer.
Brams, S. J. and Taylor, A. D. 1995. An Envy-Free Cake Division Protocol. American Mathematical Monthly, 102(1), 9-18.
Brams, S. J. and Taylor, A. D. 1996. Fair Division: From Cake-Cutting to Dispute Resolution. New York: Cambridge University Press.
Brams, S. J. and Taylor, A. D. 2000. The Win-Win Solution: Guaranteeing Fair Shares to Everybody.New York: W. W. Norton.
Brams, S. J., Kilgour, D., and Zwicker, W. S. 1997a. Voting on Referenda: The Separability Problem and Possible Solutions. Electoral Studies, 16(3), 359-377.
Brams, S. J., Taylor, A. D., and Zwicker, W. S. 1997b. A Moving-Knife Solution to the Four-Person Envy-Free Cake-Division problem. Proceedings of the American Mathematical Society, 125(2), 547-554.
Brams, S. J., Kilgour, D., and Zwicker, W. S. 1998. The Paradox of Multiple Elections. Social Choice and Welfare, 15(2), 211-236.
Brams, S. J., Edelman, P. H., and Fishburn, P. C. 2004. Fair Division of Indivisible Items. Theory and Decision, 5(2), 147-180.
Brams, S. J., Jones, M. A., and Klamler, C. 2006. Better Ways to Cut a Cake. Notices of the AMS, 53(11), 1314-1321.
Brams, S. J., Kilgour, D., and Sanver, M. R. 2007. A Minimax Procedure for Electing Committees. Public Choice, 3-4(132), 401-420.
Brams, S. J., Feldman, M., Morgenstern, J., Lai, J. K., and Procaccia, A. D. 2012a. On Maxsum Fair Cake Divisions. In Proceedings of ‘the 26th AAAI Conference on Artificial Intelligence, 1285-1291. Palo Alto, CA: AAAI.
Brams, S. J, Kilgour, D. M., and Klamler, C. 2012b. The Undercut Procedure: An Algorithm for the Envy-Free Division of Indivisible Items. Social Choice and Welfare, 39(2-3), 615-631.
Brams, S. J., Jones, M. A., and Klamler, C. 2013. N-Person Cake-Cutting: There May Be No Perfect Division. American Mathematical Monthly, 120(1), 35-47.
Brams, S. J., Kilgour, M., and Klamler, C. 2014. Two-Person Fair Division of Indivisible Items: An Efficient, Envy-Free Algorithm. Notices of the AMS, 61(2), 130-141.
Brandl, E, Brandt, E, and Hofbauer, J. 2015a. Incentives for Participation and Abstention in Probabilistic Social Choice. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1411-1419. Richland, SC: IFAAMAS.
Brandl, E, Brandt, E, Geist, C, and Hofbauer, J. 2015b. Strategic Abstention based on Prefer-ence Extensions: Positive Results and Computer-Generated Impossibilities. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), 18-24. Palo Alto, CA: AAAI.
Brandt, E 2009a. Some Remarks on Dodgson's Voting Rule. Mathematical Logic Quarterly, 55(4), 460-463.
Brandt, E 2009b. Tournament Solutions—Extensions of Maximality and Their Applications to Decision-Making. Habilitation Thesis, Faculty for Mathematics, Computer Science, and Statistics, University of Munich.
Brandt, E 2009c. Some Remarks on Dodgson's Voting Rule. Mathematical Logic Quarterly, 55(4), 460-463.
Brandt, E 2011a. Minimal Stable Sets in Tournaments. Journal of Economic Theory, 146(4), 1481—1499.
Brandt, E 201 lb. Group-Strategyproof Irresolute Social Choice Functions. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 79-84. Palo Alto, CA: AAAI.
Brandt, E 2015. Set-monotonicity implies Kelly-Strategyproofness. Social Choice and Welfare, 45(4), 793-804.
Brandt, E and Brill, M. 2011. Necessary and Sufficient Conditions for the Strategyproofness of Irresolute Social Choice Functions. In Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge (TARK), 136-142. New York: ACM.
Brandt, E and Brill, M. 2012. Computing Dominance-Based Solution Concepts. In Proceedings of the 13th ACM Conference on Electronic Commerce (EC), 233. New York: ACM.
Brandt, E and Fischer, E 2007. PageRank as a Weak Tournament Solution. In Proceedings of the 3rd International Conference on Web and Internet Economics (WINE), 300-305. New York: Springer.
Brandt, E and Fischer, E 2008a. Computing the Minimal Covering Set. Mathematical Social Sciences, 56(2), 254-268.
Brandt, R and Fischer, R 2008b. On the Hardness and Existence of Quasi-Strict Equilibria. In Proceedings of the 1st International Symposium on Algorithmic Game Theory (SAGT), 291-302. New York: Springer.
Brandt, R and Geist, C. 2014. Finding Strategyproof Social Choice Functions via SAT Solving. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1193-1200. Richland, SC: IFAAMAS.
Brandt, F. and Harrenstein, P. 2010. Characterization of Dominance Relations in Finite Coalitional Games. Theory and Decision, 69(2), 233-256.
Brandt, F. and Harrenstein, P. 2011. Set-Rationalizable Choice and Self-Stability. Journal of Economic Theory, 146(4), 1721-1731.
Brandt, F. and Seedig, H. G. 2013. A Tournament of Order 24 With Two Disjoint TEQ-Retentive Sets. Technical report.
Brandt, F. and Seedig, H. G. 2015. On the Discriminative Power of Tournament Solutions. In Selected Papers of the International Conference on Operations Research (OR2014). New York: Springer.
Brandt, E, Fischer, E, and Harrenstein, P. 2009. The Computational Complexity of Choice Sets. Mathematical Logic Quarterly, 55(4), 444-459.
Brandt, E, Brill, M., Hemaspaandra, E., and Hemaspaandra, L. 2010a. Bypassing Combinatorial Protections: Polynomial-Time Algorithms for Single-Peaked Electorates. In Proceedings of the 24th AAAI Conference on Artificial Intelligence, 715-722. Palo Alto, CA: AAAI.
Brandt, E, Brill, M., Hemaspaandra, E., and Hemaspaandra, L. 2010b. Bypassing Combinatorial Protections: Polynomial-Time Algorithms for Single-Peaked Electorates. Technical report TR- 955, Department of Computer Science, University of Rochester, Rochester, NY. Revised September 2013.
Brandt, E, Fischer, E, Harrenstein, P., and Mair, M. 2010c. A Computational Analysis of the Tour-nament Equilibrium Set. Social Choice and Welfare, 34(4), 597-609.
Brandt, E, Brill, M., and Seedig, H. G. 2011. On the Fixed-Parameter Tractability of Composition-Consistent Tournament Solutions. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 85-90. Palo Alto, CA: AAAI.
Brandt, E, Conitzer, V., and Endriss, U. 2013a. Computational Social Choice. In Multiagent Systems, 2nd ed. Weiss, G., 213-283. Cambridge, MA: MIT Press.
Brandt, E, Chudnovsky, M., Kim, I., Liu, G., Norin, S., Scott, A., Seymour, P., and Thomasse, S. 2013b. A Counterexample to a Conjecture of Schwartz. Social Choice and Welfare, 40, 739-743.
Brandt, E, Brill, M., and Harrenstein, P. 2014a. Extending Tournament Solutions. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 580-586. Palo Alto, CA: AAAI.
Brandt, E, Geist, C, and Seedig, H. G. 2014b. Identifying £-Majority Digraphs via SAT Solving. In Proceedings of the 1st AAMAS Workshop on Exploring Beyond the Worst Case in Computational Social Choice (EXPLORE).
Brandt, E, Harrenstein, P., and Seedig, H. G. 2014c. Minimal Extending Sets in Tournaments. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1539-1540. Richland, SC: IFAAMAS.
Brandt, E, Brill, M., Fischer, E, and Harrenstein, P. 2014d. Minimal Retentive Sets in Tournaments. Social Choice and Welfare, 42(3), 551-574.
Brandt, E, Brill, M., Seedig, H. G., and Suksompong, W 2014e. On the Structure of Stable Tournament Solutions. Working paper.
Brandt, E, Geist, C, Harrenstein, P. 2015a. A Note on the McKelvey Uncovered Set and Pareto Optimality. Social Choice and Welfare, Online First.
Brandt, R, Dau, A., and Seedig, H. G. 2015b. Bounds on the Disparity and Separation of Tournament Solutions. Discrete Applied Mathematics, 187, 41-49.
Brandt, R, Brill, M., Hemaspaandra, R., and Hemaspaandra, L. 2015c. Bypassing Combinatorial Protections: Polynomial-Time Algorithms for Single-Peaked Rlectorates. Journal of Artificial Intelligence Research (JAIR), 53, 439-496.
Brânzei, S. and Larson, K. 2011. Social Distance Games. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 273-279. Palo Alto, CA: AAAI.
Brânzei, s. and Miltersen, P. B. 2013. equilibrium analysis in cake cutting. in proceedings of the 12th international conference on autonomous agents and multiagent systems (aamas), 327-334. richland, SC: IFAAMAS.
Brânzei, R., Dimitrov, D., and Tijs, S. 2005. Models in Cooperative Game Theory. Springer.
Brânzei, S., Procaccia, A. D., and Zhang, J. 2013a. Rxternalities in Cake Cutting. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 55-61. Palo Alto, CA: AAAI.
Brânzei, S., Caragiannis, I., Morgenstern, J., and Procaccia, A. D. 2013b. How Bad Is Selfish Voting? In Proceedings of the 27th AAAI Conference on Artificial Intelligence, 138-144. Palo Alto, CA: AAAI.
Bredereck, R., Chen, J., and Woeginger, G. J. 2013a. Are There Any Nicely Structured Preference Profiles Nearby? In Proceedings of'the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 62-68. Palo Alto, CA: AAAI.
Bredereck, R., Chen, J., and Woeginger, G. J. 2013b. A Characterization of the Single-Crossing Domain. Social Choice and Welfare, 41(4), 989-998.
Bredereck, R., Chen, J., Hartung, S., Kratsch, S., Niedermeier, R., Suchy, O., and Woeginger, G. J. 2014a. A Multivariate Complexity Analysis of Lobbying in Multiple Referenda. Journal of Artificial Intelligence Research (JAIR), 50, 409-446.
Bredereck, R., Chen, J., Faliszewski, P., Nichterlein, A., and Niedermeier, R. 2014b. Prices Matter for the Parameterized Complexity of Shift Bribery. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 1398-1404. Palo Alto, CA: AAAI.
Brelsford, R., Faliszewski, P., Hemaspaandra, R., Schnoor, H., and Schnoor, I. 2008. Approximability of Manipulating Rlections. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence, AA-A9.Palo Alto, CA: AAAI.
Brightwell, G. and Winkler, P. 1991. Counting Linear Rxtensions is #P-Complete. In Proceedings of the ACM Symposium on Theory of Computing (STOC), 175-181. New York: ACM.
Brill, M. and Conitzer, V. 2015. Strategic Voting and Strategic Candidacy. In Proceedings of the 29th AAAI Conference on Artificial Intelligence, 819-826. Palo Alto, CA: AAAI.
Brill, M. and Fischer, R 2012. The Price of Neutrality for the Ranked Pairs Method. In Proceedings of the 26th AAAI Conference on Artificial Intelligence, 1299-1305. Palo Alto, CA: AAAI.
Brin, S. and Page, L. 1998. The Anatomy of a Large-Scale Hypertextual Web Search Rngine. Computer Networks and ISDN Systems, 30(1-7), 107-117.
Buchanan, J. M. 1954. Social Choice, Democracy, and Free Markets. Journal of Political Economy, 62,114-123.
Budish, R. 2011. The Combinatorial Assignment Problem: Approximate Competitive Rquilibrium from Rqual Incomes. Journal of Political Economy, 119(6), 1061-1103.
Caminada, M. and Pigozzi, G. 2011. On Judgment Aggregation in Abstract Argumentation. Autonomous Agents and Multiagent Systems, 22(1), 64—102.
Campbell, D. R. and Kelly, J. S. 2003. Strategy-Proofness Characterization of Majority Rule. Economic Theory, 22(3), 557-568.
Campbell, D. and Nitzan, S. 1986. Social Compromise and Social Metrics. Social Choice and Welfare, 3(1), 1-16.
Camps, R., Mora, X., and Saumell, L. 2014. Social Choice Rules Driven by Prepositional Logic. Annals of Mathematics and Artificial Intelligence, 70(3), 279-312.
Caragiannis, I. and Procaccia, A. D. 2011. Voting Almost Maximizes Social Welfare Despite Limited Communication. Artificial Intelligence, 175(9-10), 1655-1671.
Caragiannis, I., Kaklamanis, C, Kanellopoulos, P., and Kyropoulou, M. 2009. The Efficiency of Fair Division. In Proceedings of the 5 th International Conference on Web and Internet Economics (WINE), 475-482. New York: Springer.
Caragiannis, I., Kalaitzis, D., and Markakis, E. 2010. Approximation Algorithms and Mechanism Design for Minimax Approval Voting. In Proceedings of the AAAI Conference on Artificial Intelligence, 737-742. Palo Alto, CA: AAAI.
Caragiannis, I., Lai, J. K., and Procaccia, A. D. 2011. Towards More Expressive Cake Cutting. In Proceedings of'the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 127-132. Palo Alto, CA: AAAI.
Caragiannis, I., Kaklamanis, C, Kanellopoulos, P., and Kyropoulou, M. 2012a. The Efficiency of Fair Division. Theory of Computing Systems, 50(4), 589-610.
Caragiannis, I., Covey, J., Feldman, M., Homan, C, Kaklamanis, C, Karanikolas, N., Procaccia, A. D., and Rosenschein, J. S. 2012b. On the Approximability of Dodgson and Young Elections. Artificial Intelligence, 187-188, 31-51.
Caragiannis, I., Procaccia, A. D., and Shah, N. 2013. When Do Noisy Votes Reveal the Truth? In Proceedings of the 13th ACM Conference on Electronic Commerce (EC), 143-160. New York: ACM.
Caragiannis, I., Procaccia, A. D., and Shah, N. 2014a. Modal Ranking: A Uniquely Robust Voting Rule. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 616-622. Palo Alto, CA: AAAI.
Caragiannis, I., Kaklamanis, C, Karanikolas, N., and Procaccia, A. D. 2014b. Socially Desirable Approximations for Dodgson's Voting Rule. ACM Transactions on Algorithms, 10(2), Article 6.
Cary, D. 2011. Estimating the Margin of Victory for Instant-Runoff Voting. In Proceedings of the Electronic Voting Technology Workshop and the Workshop on Trustworthy Elections (E VT/WOTE). Berkeley, CA: USENIX.
Caspard, N., Leclerc, B., and Monjardet, B. 2012. Finite Ordered Sets: Concepts, Results and Uses.New York: Cambridge University Press.
Cavallo, R. 2012. Fairness and Welfare through Redistribution When Utility Is Transferable. In Proceedings of the 26th AAAI Conference on Artificial Intelligence, 1306-1312. Palo Alto, CA: AAAI.
Cechlárová, K. 2008. Stable Partition Problem. In Encyclopedia of Algorithms, 885-888. New York: Springer.
Cechlárová, K. and Hajduková, J. 2002. Computational Complexity of Stable Partitions With B-Preferences. International Journal of Game Theory, 31(3), 353-354.
Cechlárová, K. and Hajduková, J. 2004a. Stability of Partitions Under SW-Preferences and Y\>B- Preferences. International Journal of Information Technology and Decision Making, 3(4), 605-618.
Cechlárová, K. and Hajduková, J. 2004b. Stable Partitions with W-Preferences. Discrete Applied Mathematics, 138(3), 333-347.
Cechlárová, K. and Romero-Medina, A. 2001. Stability in Coalition Formation games. International Journal of Game Theory, 29, 487-494.
Cervone, D., Gehrlein, W. V, and Zwicker, W. S. 2005. Which Scoring Rule Maximizes Condorcet Efficiency Under IAC?Theory and Decision, 58, 145-185.
Chalkiadakis, G., Elkind, E., Markakis, E., and Jennings, N. R. 2010. Cooperative Games with Overlapping Coalitions. Journal of Artificial Intelligence Research (JAIR), 39, 179-216.
Chalkiadakis, G., Elkind, E., and Wooldridge, M. 2011. Computational Aspects of Cooperative Game Theory. San Rafael, CA: Morgan and Claypool.
Chamberlin, J. R. and Courant, P. N. 1983. Representative Deliberations and Representative Decisions: Proportional Representation and the Borda Rule. American Political Science Review, 77(3), 718-733.
Chambers, C. P. and Thomson, W. 2002. Group Order Preservation and the Proportional Rule for the Adjudication of Conflicting Claims. Mathematical Social Sciences, 44(3), 235-252.
Charbit, P., Thomasse, S., and Yeo, A. 2007. The Minimum Feedback Arc Set Problem Is NP-Hard for Tournaments. Combinatorics, Probability and Computing, 16(1), 1-4.
Charon, I. and Hudry, O. 2006. A Branch-And-Bound Algorithm to Solve the Linear Ordering Problem for Weighted Tournaments. Discrete Applied Mathematics, 154(15), 2097-2116.
Charon, I. and Hudry, O. 2007. A Survey on the Linear Ordering Problem for Weighted or Unweighted Tournaments. 4OR, 5(1), 5-60.
Charon, I. and Hudry, O. 2010. An Updated Survey on the Linear Ordering Problem for Weighted or Unweighted Tournaments. Annals of Operations Research, 175(1), 107-158.
Chebotarev, P. Yu. and Shamis, E. 1998. Characterizations of Scoring Methods for Preference Aggregation. Annals of Operations Research, 80, 299-332.
Chen, J.,Faliszewski, P., Niedermeier, R., and Talmon, N. 2014. Combinatorial Voter Control in Elections. In Proceedings of the 39th International Symposium on Mathematical Foundations of Computer Science, 153-164. New York: Springer.
Chen, J.,Faliszewski, P., Niedermeier, R., and Talmon, N. 2015. Elections with Few Voters: Candidate Control Can Be Easy. In Proceedings of the 29th AAAI Conference on Artificial Intelligence, 2045-2051. Palo Alto, CA: AAAI.
Chen, Y.-L., Cheng, L.-C, and Chuang, C.-N. 2008. A Group Recommendation System with Consideration of Interactions among Group Members. Expert Systems with Applications, 34(3), 2082-2090.
Chen, Y, Lai, J. K., Parkes, D. C, and Procaccia, A. D. 2013. Truth, Justice, and Cake Cutting. Games and Economic Behavior, 11, 284-297.
Chernoff, H. 1954. Rational Selection of Decision Functions. Econometrica, 22, 422-443.
Chevaleyre, Y, Dunne, P. E., Endriss, U., Lang, J., Lemaître, M., Maudet, N., Padget, J., Phelps, S., Rodriguez-Aguilar, J. A., and Sousa, P. 2006. Issues in Multiagent Resource Allocation. Informatica, 30, 3-31.
Chevaleyre, Y, Lang, J., Maudet, N., and Ravilly-Abadie, G. 2009. Compiling the votes of a subelectorate. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), 97-102. Palo Alto, CA: AAAI.
Chevaleyre, Y, Endriss, U., and Maudet, N. 2010. Simple Negotiation Schemes for Agents with Simple Preferences: Sufficiency, Necessity and Maximality. Journal of Autonomous Agents and Multi-Agent Systems, 20(2), 234-259.
Chevaleyre, Y, Lang, J., Maudet, N., and Monnot, J. 2011. Compilation/Communication Protocols for Voting Rules with a Dynamic Set of Candidates. In Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge (TARK), 153-160. New York: ACM.
Chevaleyre, Y, Lang, J., Maudet, N., Monnot, J., and Xia, L. 2012. New Candidates Welcome! Possible Winners with Respect to the Addition of New Candidates. Mathematical Social Sciences, 64(1), 74-88.
Chichilnisky, G. and Thomson, W. 1987. The Walrasian Mechanism from Equal Division is Not Monotonic with Respect to Variations in the Number of Consumers. Journal of Public Economics, 32(1), 119-124.
Chopra, S., Pacuit, E., and Parikh, R. 2004. Knowledge-Theoretic Properties of Strategic Voting. In Proceedings of the 9th European Conference onLogics in Artificial Intelligence (JELIA), 18-30. New York: Springer.
Chou, J.-H. and Lu, C.-J. 2010. Communication Requirements for Stable Marriages. In Proceedings of the 7th International Conference on Algorithms and Complexity (CIAC), 371-382. New YorkSpringer.
Christian, R., Fellows, M. R., Rosamond, E, and Slinko, A. 2007. On Complexity of Lobbying in Multiple Referenda. Review of Economic Design, 11(3), 217-224.
Chun, Y and Thomson, W. 1988. Monotonicity Properties of Bargaining Solutions when Applied to Economics. Mathematical Social Sciences, 15(1), 11-27.
CNN. 2012. Olympic Badminton Players Disqualified for Trying to Lose, August 22.
Cohen, S. and Zohar, A. 2015. An Axiomatic Approach to Link Prediction. In Proceedings of the AAAI Conference on Artificial Intelligence, 58-64. Palo Alto, CA: AAAI.
Cohen, W. W., Schapire, R. E., and Singer, Y 1999. Learning to Order Things. Journal of Artificial Intelligence Research (JAIR), 10, 243-270.
Cohler, Y J, Lai, J. K., Parkes, D. C, and Procaccia, A. D. 2011. Optimal Envy-Free Cake Cutting. In Proceedings of the 25th AAAI Conference on Artificial Intelligence, 626-631. Palo Alto, CA: AAAI.
Coleman, J. S. 1971. Control of Collectivities and the Power of a Collectivity to Act. In Social Choice, ed. Lieberman, B., 269-298. New York Gordon and Breach.
Coleman, T. and Teague, V. 2007. On the Complexity of Manipulating Elections. In Proceedings of the 13th Australasian Symposium on Theory of Computing (CATS), 25-33. Darlinghurst: Australian Computer Society.
Condorcet, J.-A.-N. de Caritat, Marquis de. 1785. Essai sur I'Application del!Analyse a la Probability des Decisions Rendues a la Pluralite des Voix. Facsimile reprint of original published in Paris, 1972, by the Imprimerie Roy ale.
Conitzer, V. 2006. Computing Slater Rankings Using Similarities among Candidates. In Proceedings of the 21st AAAI Conference on Artificial Intelligence, 613-619. Palo Alto, CA: AAAI.
Conitzer, V. 2008. Anonymity-Proof Voting Rules. In Proceedings of the 4th International Conference on Web and Internet Economics (WINE), 295-306. New York: Springer.
Conitzer, V 2009. Eliciting Single-Peaked Preferences Using Comparison Queries. Journal of Artificial Intelligence Research (JAIR), 35, 161-191.
Conitzer, V and Sandholm, T. 2002. Vote Elicitation: Complexity and Strategy-Proofness. In Proceedings of the AAAI Conference on Artificial Intelligence, 392-397. Palo Alto, CA: AAAI.
Conitzer, V and Sandholm, T. 2003. Universal Voting Protocol Tweaks to Make Manipulation Hard. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI), 781-788. Palo Alto, CA: AAAI.
Conitzer, V and Sandholm, T. 2004. Computational Criticisms of the Revelation Principle. In Proceedings of the ACM Conference on Electronic Commerce (EC), 262-263. New York ACM.
Conitzer, V and Sandholm, T. 2005a. Common Voting Rules as Maximum Likelihood Estimators. In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 145-152. New York: Morgan Kaufmann.
Conitzer, V and Sandholm, T. 2005b. Communication Complexity of Common Voting Rules. In Proceedings of the ACM Conference on Electronic Commerce (EC), 78-87. New York: ACM.
Conitzer, V and Sandholm, T. 2006. Nonexistence of Voting Rules That Are Usually Hard to Manipulate. In Proceedings of the AAAI Conference on Artificial Intelligence, 627-634. Palo Alto, CA: AAAI.
Conitzer, V. and Xia, L. 2012. Paradoxes of Multiple Elections: An Approximation Approach. In Proceedings of the International Conference on Principles of Knowledge Representation and Reasoning (KR), 179-187. Palo Alto: AAAI.
Conitzer, V., Davenport, A., and Kalagnanam, J. 2006. Improved Bounds for Computing Kemeny Rankings. In Proceedings of the 21st AAAI Conference on Artificial Intelligence, 620-627. Palo Alto, CA: AAAI.
Conitzer, V., Sandholm, T., and Lang, J. 2007. When Are Elections with Few Candidates Hard to Manipulate?Journal of the Association for Computing Machinery, 54(3), 1-33.
Conitzer, V., Lang, J., and Xia, L. 2009a. How Hard Is It to Control Sequential Elections via the Agenda? In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), 103-108. Palo Alto, CA: AAAI.
Conitzer, V., Rognlie, M., and Xia, L. 2009b. Preference Functions that Score Rankings and Maximum Likelihood Estimation. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), 109-115. Palo Alto, CA: AAAI.
Conitzer, V., Walsh, T., and Xia, L. 2011a. Dominating Manipulations in Voting with Partial Information. In Proceedings of the 25th AAAI Conference on Artificial Intelligence, 638-643. Palo Alto, CA: AAAI.
Conitzer, V., Lang, J., and Xia, L. 2011b. Hypercubewise Preference Aggregation in Multi-issue Domains. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 158-163. Palo Alto, CA: AAAI.
Connolly, R. A. and Rendleman, R. J. 2011. Tournament Qualification, Seeding and Selection Effciency: An Analysis of the PGA TOUR's FedExCup. Working paper, Tuck School of Business.
Copeland, A. H. 1951. A “Reasonable” Social Welfare Function. Mimeo, University of Michigan Seminar on Applications of Mathematics to the Social Sciences.
Coppersmith, D., Fleischer, L., and Rudra, A. 2006. Ordering by Weighted Number of Wins Gives a Good Ranking for Weighted Tournaments. In Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithms, 776-782. New York: ACM.
Coppersmith, D., Fleischer, L., and Rudra, A. 2010. Ordering by Weighted Number of Wins Gives a Good Ranking for Weighted Tournaments. ACM Transactions on Algorithms, 6(3), 1-13.
Cornaz, D., Galand, L., and Spanjaard, O. 2012. Bounded Single-Peaked Width and Proportional Representation. In Proceedings of the 20th European Conference on Artificial Intelligence (ECAI), 270-275. Amsterdam: IOS Press.
Cornaz, D., Galand, L., and Spanjaard, O. 2013. Kemeny Elections with Bounded Single-Peaked or Single-Crossing Width. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 76-82. Palo Alto, CA: AAAI.
Coste-Marquis, S., Lang, J., Liberatore, P., and Marquis, P. 2004. Expressive Power and Succinctness of Propositional Languages for Preference Representation. In Proceedings of the 9th International Conference on Principles of Knowledge Representation and Reasoning (KR), 203-212. New York AAAI.
Coughlan, P. J. and Le Breton, M. 1999. A Social Choice Function Implementable via Backward Induction with Values in the Ultimate Uncovered Set. Review of Economic Design, 4(2), 153-160.
Cox, G. 1997. Making Votes Count: Strategic Coordination in the World's Electoral Systems. New York: Cambridge University Press.
Cramton, P., Shoham, Y, and Steinberg, R, eds. 2006. Combinatorial Auctions.Cambridge, MA: MIT Press.
Cuhadaroglu, T. and Laine, J. 2012. Pareto efficiency in Multiple Referendum. Theory and Decision, 72(4), 525-536.
Curiel, I. 1997. Cooperative Game Theory and Applications.Dordrecht: Kluwer Academic.
Dagan, N. 1996. A Note on Thomson's Characterizations of the Uniform Rule. Journal of Economic Theory, 69(1), 255-261.
van Dalen, D. 2013. Logic and Structure. 5th ed. New York: Springer.
DallaPozza, G., Pini, M. S., Rossi, R, and Venable, K. B. 2011. Multi-Agent Soft Constraint Aggregation via Sequential Voting. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 172-177. Palo Alto, CA: AAAI.
Dall'Aglio, M. and Hill, T. P. 2003. Maxmin Share and Minimax Envy in Fair Division Problems. Journal of Mathematical Analysis and Applications, 281(1), 346-361.
Dall'Aglio, M. and Mosca, R. 2007. How to Allocate Hard Candies Fairly. Mathematical Social Sciences, 54, 218-237.
Daniels, H. E. 1969. Round-Robin Tournament Scores. Biometrika, 56(2), 295-299.
Darmann, A. 2013. Popular Spanning Trees. International Journal of Foundations of Computer Science, 24(5), 655-678.
Darmann, A., Klamler, C, and Pferschy, U. 2009. Maximizing the Minimum Voter Satisfaction on Spanning Trees. Mathematical Social Sciences, 58(2), 238-250.
Darmann, A., Kurz, E., Lang, J., Schauer, J., and Woeginger, G. J. 2012. Group Activity Selection Problem. In Proceedings of the 8th International Conference on Web and Internet Economics (WINE), 156-169. New York: Springer.
Dash, R., Ramchurn, S., and Jennings, N. R. 2004. Trust-Based Mechanism Design. In Proceedings of the 3rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 748-755. Richland, SC: IFAAMAS.
Davenport, A. and Kalagnanam, J. 2004. A Computational Study of the Kemeny Rule for Preference Aggregation. In Proceedings of the 19th AAAI Conference on Artificial Intelligence, 697-702. Palo Alto, CA: AAAI.
Davey, B. A. and Priestley, H. A. 2002. Introduction to Lattices and Order. 2nd ed. New York Cambridge University Press.
Davies, J., Katsirelos, G., Narodytska, N., and Walsh, T. 2011. Complexity of and Algorithms for Borda Manipulation. In Proceedings of the 25th AAAI Conference on Artificial Intelligence, 657-662. Palo Alto, CA: AAAI.
Davies, J., Narodytska, N., and Walsh, T. 2012. Eliminating the Weakest Link: Making Manipulation Intractable?In Proceedings of the 26th AAAI Conference on Artificial Intelligence, 1333-1339. Palo Alto, CA: AAAI.
Davies, J., Katsirelos, G., Narodytska, N., Walsh, T., and Xia, L. 2014. Complexity of and Algorithms for the Manipulation of Borda, Nanson's and Baldwin's voting rules. Artificial Intelligence, 217, 20-42.
De Donder, P., Le Breton, M., and Truchon, M. 2000. Choosing from a Weighted Tournament. Mathematical Social Sciences, 40, 85-109.
de Keijzer, B., Bouveret, S., Klos, T., and Zhang, Y 2009. On the Complexity of Efficiency and Envy-Freeness in Fair Division of Indivisible Goods with Additive Preferences. In Proceedings of the 1st International Conference on Algorithmic Decision Theory (ADT), 98-110. New York Springer.
Debord, B. 1987. Caractérisation des matrices des préferénces nettes et méthodes d'agrégation associeés. Mathématiques et sciences humaines, 97, 5-17.
Debreu, G. 1954. Representation of a Preference Ordering by a Numerical Function. Decision Processes, 3, 159-165.
Deegan, J. and Packel, E. W. 1978. A New Index of Power for Simple N-Person Games. International Journal of Game Theory, 7, 113-123.
Deineko, V G. and Woeginger, G. J. 2013. Two Hardness Results for Core Stability in Hedonic Coalition formation games. Discrete Applied Mathematics, 161, 1837-1842.
Deineko, V. G. and Woeginger, G. J. 2014. Two Hardness Results for Gamson's Game. Social Choice and Welfare, 43, 963-972.
Dekel, O., Fischer, R A., and Procaccia, A. D. 2010. Incentive Compatible Regression Learning. Journal of Computer and System Sciences, 76(8), 759-777.
Demange, G. 2009. The Strategy Structure of Some Coalition Formation Games. Games and Economic Behavior, 65, 83-104.
Demko, S. and Hill, T. P. 1988. Equitable Distribution of Indivisible Items. Mathematical Social Sciences, 16, 145-158.
Deng, X. and Fang, Z. 2008. Algorithmic Cooperative Game Theory. In Pareto Optimality, Game Theory and Equilibria, ed. Chinchuluun, A., Pardalos, P. M., Migdalas, A., and Pitsoulis, L.158-185. New York: Springer.
Deng, X. and Papadimitriou, C. H. 1994. On the Complexity of Cooperative Solution Concepts. Mathematics of Operations Research, 19(2), 257-266.
Deng, X., Papadimitriou, C. H., and Safra, S. 2003. On the Complexity of Equilibria. Journal of Computer and System Sciences, 67(2), 311-324.
Deng, X., Qi, Q., and Saberi, A. 2012. Algorithmic Solutions for Envy-Free Cake Cutting. Operations Research, 60(6), 1461-1476.
Dery, L. N., Kalech, M., Rokach, L., and Shapira, B. 2010. Iterative Voting Under Uncertainty for Group Recommender Systems. In Proceedings of the 4th ACM Conference on Recommender Systems, 265-268. New York: ACM.
Desmedt, Y and Elkind, E. 2010. Equilibria of Plurality Voting with Abstentions. In Proceedings of the ACM Conference on Electronic Commerce (EC), 347-356. New York: ACM.
Diaconis, P. and Graham, R. L. 1977. Spearman's Footrule as a Measure of Disarray. Journal of the Royal Statistical Society, 39(2), 262-268.
Dickerson, J. P., Procaccia, A. D., and Sandholm, T. 2013. Failure-Aware Kidney Exchange. In Proceedings of the 14th ACM Conference on Electronic Commerce (EC), 323-340. New York ACM.
Dickerson, J. P., Goldman, J., Karp, J., Procaccia, A. D., and Sandholm, T. 2014. The Computational Rise and Fall of Fairness. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 1405-1411. Palo Alto, CA: AAAI.
Dietrich, F. 2007. A Generalised Model of Judgment Aggregation. Social Choice and Welfare, 28(4), 529-565.
Dietrich, F. 2014. Scoring Rules for Judgment Aggregation. Social Choice and Welfare, 42, 873-911.
Dietrich, F. and List, C. 2004. A Model of Jury Decision Where All the Jurors Have the Same Evidence. Synthese, 142, 175-202.
Dietrich, F. and List, C. 2007a. Judgment Aggregation by Quota Rules: Majority Voting Generalized. Journal of Theoretical Politics, 19(4), 391-424.
Dietrich, F. and List, C. 2007b. Arrow's Theorem in Judgment Aggregation. Social Choice and Welfare, 29(1), 19-33.
Dietrich, F. and List, C. 2007c. Strategy-Proof Judgment Aggregation. Economics and Philosophy, 23(3), 269-300.
Dietrich, F. and List, C. 2010. Majority Voting on Restricted Domains. Journal of Economic Theory, 145(2), 512-543.
Dimitrov, D. and Sung, S. C. 2006. Top Responsiveness and Nash Stability in Coalition Formation Games. Kybernetika, 42(4), 453-460.
Dimitrov, D. and Sung, S. C. 2007. On Top Responsiveness and Strict Core Stability. Journal of Mathematical Economics, 43(2), 130-134.
Dimitrov, D., Borm, P., Hendrickx, R., and Sung, S. C. 2006. Simple Priorities and Core Stability in Hedonic Games. Social Choice and Welfare, 26(2), 421—433.
Dimopoulos, Y., Michael, L., and Athienitou, R 2009. Ceteris Paribus Preference Elicitation with Predictive Guarantees. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), 1890-1895. Palo Alto, CA: AAAI.
Ding, N. and Lin, R 2014. On Computing Optimal Strategies in Open List Proportional Representation: The Two Parties Case. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 1419-1425. Palo Alto, CA: AAAI.
Dobzinski, S. and Procaccia, A. D. 2008. Frequent Manipulability of Elections: The Case of Two Voters. In Proceedings ofthe4thlnternational Conference on Web and Internet Economics (WINE), 653-664. New York: Springer.
Dodgson, C. 1876. A Method of Taking Votes on More Than Two Issues. Reprinted in McLean and Urken (1995).
Dogan, O. 2015. Monotonicity Properties Fulfilled by Resolute Refinements of Social Choice Functions. Mimeo.
Doignon, J.-P. and Falmagne, J.-C. 1994. A Polynomial Time Algorithm for Unidimensional Unfolding Representations. Journal of Algorithms, 16(2), 218-233.
Dokow, E. and Holzman, R. 2010. Aggregation of Binary Evaluations. Journal of Economic Theory, 145(2), 495-511.
Dolev, D., Feitelson, D. G., Halpern, J. Y, Kupferman, R., and Linial, N. 2012. No Justified Com-plaints: On Fair Sharing of Multiple Resources. In Proceedings of the 3rd Innovations in Theoretical Computer Science Conference (ITCS), 68-75. New York: ACM.
Dorn, B. and Schlotter, I. 2012. Multivariate Complexity Analysis of Swap Bribery. Algorithmica, 64(1), 126-151.
Douceur, J. R. and Moscibroda, T. 2007. Lottery Trees: Motivational Deployment of Networked Systems. ACM SIGCOMM Computer Communication Review, 37(4), 121-132.
Dowding, K. and Hees, M. Van. 2008. In Praise of Manipulation. British Journal of Political Science, 38(1), 1-15.
Downey, R. G. and Fellows, M. R. 1999. Parameterized Complexity.New York: Springer.
Downey, R. G. and Fellows, M. R. 2013. Fundamentals of Parameterized Complexity.New YorkSpringer.
Drèze, J. H. and Greenberg, J. 1980. Hedonic Coalitions: Optimality and Stability. Econometrica, 48(4), 987-1003.
Driessen, T. S. H. 1988. Cooperative Games, Solutions and Applications.New YorkKluwer.
Drissi-Bakhkhat, M. and Truchon, M. 2004. Maximum Likelihood Approach to Vote Aggregation with Variable probabilities. Social Choice and Welfare, 23(2), 161-185.
Drucker, R A. and Fleischer, L. K. 2012. Simpler Sybil-Proof Mechanisms for Multi-Level Marketing. In Proceedings of the 13th ACM Conference on Electronic Commerce (EC), 441-458. New York: ACM.
Drummond, J. and Boutilier, C. 2013. Elicitation and Approximately Stable Matching with Partial Preferences. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 97-105. Palo Alto, CA: AAAI.
Dubey, P. and Shapley, L. S. 1979. Mathematical Properties of the Banzhaf Power Index. Mathematics of Operations Research, 4(2), 99-131.
Dubins, L. E. and Freedman, D. A. 1981. Machiavelli and the Gale-Shapley Algorithm. American Mathematical Monthly, 88(7), 485-494.
Dubins, L. E. and Spanier, E. H. 1961. How To Cut a Cake Fairly. American Mathematical Monthly, 68(1), 1-17.
Duddy, C., Piggins, A. and Zwicker, W. S. 2013. Social Dichotomy Functions. Preprint.
Duggan, J. 2013. Uncovered Sets. Social Choice and Welfare, 41, 489–535.
Duggan, J. and Le Breton, M. 1996. Dutta's Minimal Covering Set and Shapley's Saddles. Journal of Economic Theory, 70, 257–265.
Duggan, J. and Le Breton, M. 2001. Mixed Refinements of Shapley's Saddles and Weak Tournaments. Social Choice and Welfare, 18(1), 65–78.
Duggan, J. and Schwartz, T. 2000. Strategic Manipulability Without Resoluteness or Shared Beliefs: Gibbard-Satterthwaite Generalized. Social Choice and Welfare, 17, 85–93.
Dunne, P. E. 2005. Extremal Behaviour in Multiagent Contract Negotiation. Journal of Artificial Intelligence Research (JAIR), 23, 41–78.
Durán, E. A., Bilbao, J. M., García, J. R. F., and López, J. J. 2003. Computing Power Indices in Weighted Multiple Majority Games. Mathematical Social Sciences, 46(1), 63–80.
Durant, E. 2010. Hearing Aids and Methods and Apparatus for Audio Fitting Thereof. U.S. patent 20100172524A1.
Dutta, B. 1988. Covering Sets and a New Condorcet Choice Correspondence. Journal of Economic Theory, 44, 63–80.
Dutta, B. and Laslier, J.-F. 1999. Comparison Functions and Choice Correspondences. Social Choice and Welfare, 16(4), 513–532.
Dutta, B. and Pattanaik, P. K. 1978. On Nicely Consistent Voting Systems. Econometrica, 46(1), 163–170.
Dutta, B., Jackson, M., and Le Breton, M. 2001. Strategic Candidacy and Voting Procedures. Econometrica, 69(4), 1013–1037.
Dwork, C., Kumar, R., Naor, M., and Sivakumar, D. 2001. Rank Aggregation Methods for the Web. In Proceedings of the 10th International Conference on the World Wide Web, 613–622. New York: ACM.
Echenique, F. and Oviedo, J. 2006. A Theory of Stability in Many-To-Many Matching Markets. Theoretical Economics, 1(2), 233–273.
Eckert, D. and Klamler, C. 2011. Distance-Based Aggregation Theory. In Consensual Processes, 3–22. New York: Springer.
Eckert, D. and Monjardet, B. 2010. Guilbaud's 1952 Theorem on the Logical Problem of Aggregation. Mathematiques et Sciences Humaines, 48(189), 19–35.
Edmonds, J. and Pruhs, K. 2006a. Balanced Allocations of Cake. In Proceedings of the 47th Annual Symposium on Foundations of Computer Science (FOCS), 623–634. New York: IEEE.
Edmonds, J. and Pruhs, K. 2006b. Cake Cutting Really is Not a Piece of Cake. In Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithms, 271–278. New York: ACM.
Eğeciouğlu, Ö. and Giritligil, A. E. 2013. The Impartial, Anonymous, and Neutral Culture Model: A Probability Model for Sampling Public Preference Structures. Journal of Mathematical Sociology, 37(4), 203–222.
Eğeciouğlu, Ö. and Giritligil, A. E. 2014. Anonymous and Neutral Social Choice: Existence Results on Resoluteness. Working paper 201401, Murat Sertel Center for Advanced Economic Studies.
Ehlers, L. and Klaus, B. 2004. Resource-MonotonicHouseAllocation. International Journal of Game Theory, 32, 545–560.
Ehlers, L. and Klaus, B. 2007. Consistent House Allocation. Economic Theory, 30, 561–574.
Ehlers, L. and Klaus, B. 2011. Corrigendum to “Resource-Monotonicity for House Allocation Problems.” International Journal of Game Theory, 40, 281–287.
Ehlers, L. and Klaus, B. 2014. Strategy-Proofness Makes the Difference: Deferred-Acceptance with Responsive Priorities. Mathematics of Operations Research, 39, 949–966.
Ehlers, L., Klaus, B., and Pápai, S. 2002. Strategy-Proofness and Population-Monotonicity for House Allocation Problems. Journal of Mathematical Economics, 38(3), 329–339.
Eirinakis, P., Magos, D., Mourtos, I., and Miliotis, P. 2012. Finding All Stable Pairs and Solutions to the Many-To-Many Stable Matching Problem. INFORMS Journal on Computing, 24(2), 245–259.
Eirinakis, P., Magos, D., Mourtos, I., and Miliotis, P. 2013. Finding a Minimum-Regret Many-To- Many Stable Matching. Optimization, 62(8), 1007–1018.
Elkind, E. and Erdélyi, G. 2012. Manipulation Under Voting Rule Uncertainty. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 627–634. Richland, SC: IFAAMAS.
Elkind, E. and Faliszewski, P. 2010. Approximation Algorithms for Campaign Management. In Proceedings of the 6th International Conference on Web and Internet Economics (WINE), 473– 482. New York: Springer.
Elkind, E. and Faliszewski, P. 2014. Recognizing 1-Euclidean Preferences: An Alternative Approach. In Proceedings of the 7th International Symposium on Algorithmic Game Theory (SAGT), 146– 157. New York: Springer.
Elkind, E. and Lackner, M. 2014. On Detecting Nearly Structured Preference Profiles. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 661–667. Palo Alto, CA: AAAI.
Elkind, E. and Lipmaa, H. 2005. Hybrid Voting Protocols and Hardness of Manipulation. In Proceedings of the 16th International Symposium on Algorithms and Computation (ISAAC), 206–215. New York: Springer.
Elkind, E. and Shah, N. 2014. Electing the Most Probable without Eliminating the Irrational: Voting over Intransitive Domains. In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 182–191. New York: Morgan Kaufmann.
Elkind, E. and Wooldridge, M. 2009. Hedonic Coalition Nets. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 417–424. Richland, SC: IFAAMAS.
Elkind, E., Faliszewski, P., and Slinko, A. 2009a. On Distance Rationalizability of Some Voting Rules. In Proceedings of the Conference on Theoretical Aspects of Rationality and Knowledge (TARK), 201–214. New York: ACM.
Elkind, E., Goldberg, L., Goldberg, P., and Wooldridge, M. 2009b. On the Computational Complexity of Weighted Voting Games. Annals of Mathematics and Artificial Intelligence, 56(2), 109–131.
Elkind, E., Faliszewski, P., and Slinko, A. 2009c. Swap Bribery. In Proceedings of the 2nd International Symposium on Algorithmic Game Theory (SAGT), 299–310. New York: Springer.
Elkind, E., Faliszewski, P., and Slinko, A. 2010a. Good Rationalizations of Voting Rules. In Proceedings of the AAAI Conference on Artificial Intelligence, 774–779. Palo Alto, CA: AAAI.
Elkind, E., Faliszewski, P., and Slinko, A. 2010b. On the Role of Distances in Defining Voting Rules. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 375–382. Richland, SC: IFAAMAS.
Elkind, E., Faliszewski, P., and Slinko, A. 2011a. Cloning in Elections: Finding the PossibleWinners. Journal of Artificial Intelligence Research (JAIR), 42, 529–573.
Elkind, E., Faliszewski, P., and Slinko, A. 2011b. Homogeneity and Monotonicity of Distance- Rationalizable Voting Rules. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 821–828. Richland, SC: IFAAMAS.
Elkind, E., Faliszewski, P., and Slinko, A. 2012a. Clone Structures in Voters' Preferences. In Proceedings of the 13th ACM Conference on Electronic Commerce (EC), 496–513. New York: ACM.
Elkind, E., Faliszewski, P., and Slinko, A. 2012b. Rationalizations of Condorcet-Consistent Rules via Distances of Hamming Type. Social Choice and Welfare, 4(39), 891–905.
Elkind, E., Rahwan, T., and Jennings, N. R. 2013. Computational Coalition Formation. In Multiagent Systems, 329–380. Cambridge, MA: MIT Press.
Elkind, E., Faliszewski, P., Skowron, P., and Slinko, A. 2014a. Properties of Multiwinner Voting Rules. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 53–60. Richland, SC: IFAAMAS.
Elkind, E., Grandi, U., Rossi, F., and Slinko, A. 2014b. Games Gibbard-Satterthwaite Manipulators Play. In Proceedings of the 5th International Workshop on Computational Social Choice (COMSOC).
Elkind, E., Lang, J., and Saffidine, A. 2015a. Condorcet Winning Sets. Social Choice and Welfare, 44(3), 493–517.
Elkind, E., Faliszewski, P., Lackner, M., and Obraztsova, S. 2015b. The Complexity of Recognizing Incomplete Single-Crossing Elections. In Proceedings of the 29th AAAI Conference on ArtificialIntelligence, 865–871. Palo Alto, CA: AAAI.
Emek, Y., Karidi, R., Tennenholtz, M., and Zohar, A. 2011. Mechanisms for Multi-Level Marketing. In Proceedings of the 12th ACM Conference on Electronic Commerce (EC), 209–218. New York: ACM.
Endriss, U. 2011. Logic and Social Choice Theory. In Logic and Philosophy Today, vol. 2, ed. Gupta, A., and van Benthem, J., 333–377. London: College Publications.
Endriss, U. 2013. Reduction of Economic Inequality in Combinatorial Domains. In Proceedingsof the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 175–182. Richland, SC: IFAAMAS.
Endriss, U. and Fernández, R. 2013. Collective Annotation of Linguistic Resources: Basic Principles and a Formal Model. In Proceedings of the 51st Annual Meeting of the Association forComputational Linguistics (ACL), 539–549. Stroudsburg, PA: ACL.
Endriss, U. and Grandi, U. 2014. Binary Aggregation by Selection of the Most Representative Voter. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, Palo Alto, CA: AAAI.
Endriss, U. and Maudet, N. 2005. On the Communication Complexity of Multilateral Trading: Extended Report. Journal of Autonomous Agents and Multi-Agent Systems, 11(1), 91–107.
Endriss, U., Maudet, N., Sadri, F., and Toni, F. 2006. Negotiating Socially Optimal Allocations of Resources. Journal of Artificial Intelligence Research (JAIR), 25, 315–348.
Endriss, U., Pini, M. S., Rossi, F., and Venable, K. B. 2009. Preference Aggregation over Restricted Ballot Languages: Sincerity and Strategy-Proofness. In Proceedings of the 21st International JointConference on Artificial Intelligence (IJCAI), 122–127. Palo Alto, CA: AAAI.
Endriss, U., Grandi, U., and Porello, D. 2012. Complexity of Judgment Aggregation. Journal ofArtificial Intelligence Research (JAIR), 45, 481–514.
Ephrati, E. and Rosenschein, J. S. 1993. Multi-Agent Planning as a Dynamic Search for Social Consensus. In Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI), 423–429.
Palo, Alto, CA: AAAI. Erdélyi, G. and Rothe, J. 2010. Control Complexity in Fallback Voting. In Proceedings of Computing:The 16th Australasian Theory Symposium, 39–48. Darlinghurst: ACS.
Erdélyi, G., Nowak, M., and Rothe, J. 2009. Sincere-Strategy Preference-Based Approval Voting Fully Resists Constructive Control and Broadly Resists Destructive Control. Mathematical LogicQuarterly, 55(1), 425–443.
Erdélyi, G., Piras, L., and Rothe, J. 2011. The Complexity of Voter Partition in Bucklin and Fallback Voting: Solving Three Open Problems. In Proceedings of the 10th International Conference onAutonomous Agents and Multiagent Systems (AAMAS), 837–844. Richland, SC: IFAAMAS.
Erdélyi, G., Fellows, M. R., Rothe, J., and Schend, L. 2015a. Control Complexity in Bucklin and Fallback Voting: A Theoretical Analysis. Journal of Computer and System Sciences, 81(4), 632–660.
Erdélyi, G., Fellows, M. R., Rothe, J., and Schend, L. 2015b. Control Complexity in Bucklin and Fallback Voting: An Experimental Analysis. Journal of Computer and System Sciences, 81(4), 661–670.
Erdös, P. and Moser, L. 1964. On the Representation of Directed Graphs as Unions of Orderings. Publications of the Mathematical Institute of the Hungarian Academy of Science, 9, 125–132.
Ergin, H. 2000. Consistency in House Allocation Problems. Journal of Mathematical Economics, 34(1), 77–97.
Escoffier, B., Lang, J., and Ö ztürk, M. 2008. Single-Peaked Consistency and Its Complexity. In Proceedings of the 8th European Conference on Artificial Intelligence (ECAI), 366–370. Amsterdam: IOS Press.
Escoffier, B., Gourvès, L., and Monnot, J. 2013. Fair Solutions for Some Multiagent Optimization Problems. Autonomous Agents and Multi-Agent Systems, 26(2), 184–201.
Even, S. and Paz, A. 1984. A Note on Cake-Cutting. Discrete Applied Mathematics, 7, 285–296.
Everaere, P., Konieczny, S., and Marquis, P. 2014. Counting Votes for Aggregating Judgments. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1177–1184. Richland, SC: IFAAMAS.
Fabrikant, A., Papadimitriou, C. H., and Talwar, K. 2004. The Complexity of Pure Nash Equilibria. In Proceedings of the 36th ACM Symposium on Theory of Computing (STOC), 504–612. New York: ACM.
Fagin, R., Kumar, R., and Sivakumar, D. 2003. Efficient Similarity Search and Classification via Rank Aggregation. In Proceedings of the 2003 ACMSIGMOD International Conference on Managementof Data, 301–312. New York: ACM.
Faliszewski, P. 2008. Non uniform Bribery. In Proceedings of the 7th International Conference onAutonomous Agents and Multiagent Systems (AAMAS), 1569–1572. Richland, SC: IFAAMAS.
Faliszewski, P. and Hemaspaandra, L. 2009. The Complexity of Power-Index Comparison. TheoreticalComputer Science, 410(1), 101–107.
Faliszewski, P. and Procaccia, A. D. 2010. AI's War on Manipulation: Are We Winning?AI Magazine, 31(4), 53–64.
Faliszewski, P., Hemaspaandra, E., and Schnoor, H. 2008. Copeland Voting: Ties Matter. In Proceedingsof the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 983–990. Richland, SC: IFAAMAS.
Faliszewski, P., Elkind, E., and Wooldridge, M. 2009a. Boolean Combinations of Weighted Voting Games. In Proceedings of the 8th International Conference on Autonomous Agents and MultiagentSystems (AAMAS), 185–192. Richland, SC: IFAAMAS.
Faliszewski, P., Hemaspaandra, E., and Hemaspaandra, L. 2009b. How Hard Is Bribery in Elections?Journal of Artificial Intelligence Research (JAIR), 35, 485–532.
Faliszewski, P., Hemaspaandra, E., Hemaspaandra, L., and Rothe, J. 2009c. Llull and Copeland Voting Computationally Resist Bribery and Constructive Control. Journal of Artificial IntelligenceResearch (JAIR), 35, 275–341.
Faliszewski, P., Hemaspaandra, E., Hemaspaandra, L., and Rothe, J. 2009d. A Richer Understanding of the Complexity of Election Systems. In Fundamental Problems in Computing: Essays in Honorof Professor Daniel J. Rosenkrantz, ed. Ravi, S., and Shukla, S., 375–406. New York: Springer.
Faliszewski, P., Hemaspaandra, E., Hemaspaandra, L. A., and Rothe, J. 2009e. The Shield that Never Was: Societies with Single-Peaked Preferences are More Open to Manipulation and Control. In Proceedings of the Conference on Theoretical Aspects of Rationality and Knowledge (TARK), 118–127. New York: ACM.
Faliszewski, P., Hemaspaandra, E., and Hemaspaandra, L. 2010. Using Complexity to Protect Elections. Communications of the ACM, 53(11), 74–82.
Faliszewski, P., Hemaspaandra, E., and Hemaspaandra, L. 2011a. The Complexity of Manipulative Attacks in Nearly Single-Peaked Electorates. In Proceedings of the 13th Conference on TheoreticalAspects of Rationality and Knowledge (TARK), 228–237. New York: ACM.
Faliszewski, P., Hemaspaandra, E., and Hemaspaandra, L. 2011b. Multimode Control Attacks on Elections. Journal of Artificial Intelligence Research (JAIR), 40, 305–351.
Faliszewski, P., Hemaspaandra, E., Hemaspaandra, L., and Rothe, J. 2011c. The Shield that Never Was: Societies with Single-Peaked Preferences are More Open to Manipulation and Control. Information and Computation, 209(2), 89–107.
Faliszewski, P., Hemaspaandra, E., and Hemaspaandra, L. 2013. Weighted Electoral Control. In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 367–374. Richland, SC: IFAAMAS.
Faliszewski, P., Hemaspaandra, E., and Hemaspaandra, L. A. 2014. The complexity of Manipulative Attacks in Nearly Single-Peaked Electorates. Artificial Intelligence, 207, 69–99.
Faliszewski, P., Reisch, Y., Rothe, J., and Schend, L. 2015. Complexity of Manipulation, Bribery, and Campaign Management in Bucklin and Fallback Voting. Journal of Autonomous Agents andMulti-Agent Systems, 29(6), 1091–1124.
Farkas, D. and Nitzan, S. 1979. The Borda Rule and Pareto Stability: A Comment. Econometrica, 47(5), 1305–1306.
Farquharson, R. 1969. Theory of Voting. New Haven|CT: Yale University Press.
Fatima, S. S., Wooldridge, M., and Jennings, N. R. 2008. A Linear Approximation Method for the Shapley Value. Artificial Intelligence Journal, 172(14), 1673–1699.
Favardin, P. and Lepelley, D. 2006. Some Further Results on the Manipulability of Social Choice Rules. Social Choice and Welfare, 26(3), 485–509.
Favardin, P., Lepelley, D., and Serais, J. 2002. Borda Rule, Copeland Method and Strategic Manipulation. Review of Economic Design, 7(2), 213–228.
Feige, U. 1998. A Threshold of ln n for Approximating Set Cover. Journal of the ACM, 45(4), 643–652.
Fekete, S. P., Skutella, M., and Woeginger, G. J. 2003. The Complexity of Economic Equilibria for House Allocation Markets. Information Processing Letters, 88, 219–223.
Fellows, M. R., Jansen, B., Lokshtanov, D., Rosamond, F., and Saurabh, S. 2010. Determining the Winner of a Dodgson Election is Hard. In Proceedings of the 29th Conference on Foundations ofSoftware Technology and Theoretical Computer Science, 459–469. Dagstuhl: LIPICS.
Felsenthal, D. and Machover, M. 1998. The Measurement of Voting Power. Cheltenham, UK: Edward Elgar.
Fey, M. 2008. Choosing from a Large Tournament. Social Choice and Welfare, 31(2), 301–309.
Fischer, F. and Klimm, M. 2014. Optimal Impartial Selection. In Proceedings of the 15th ACMConference on Economics and Computation (EC), 803–820. New York: ACM.
Fischer, F., Procaccia, A. D., and Samorodnitsky, A. 2011. A New Perspective on Implementation by Voting Trees. Random Structures and Algorithms, 39(1), 59–82.
Fishburn, P. C. 1970. Utility Theory for Decision-Making. New York: John Wiley.
Fishburn, P. C. 1972. Even-Chance Lotteries in Social Choice Theory. Theory and Decision, 3, 18–40.
Fishburn, P. C. 1977. Condorcet Social Choice Functions. SIAM Journal on Applied Mathematics, 33(3), 469–489.
Fishburn, P. C. 1982. Monotonicity Paradoxes in the Theory of Elections. Discrete Applied Mathematics, 4(2), 119–134.
Fishburn, P. C. 1984. Probabilistic Social Choice Based on Simple Voting Comparisons. Review ofEconomic Studies, 51(167), 683–692.
Fishburn, P. C. 1985. Interval Orders and Interval Graphs: A Study of Partially Ordered Sets. Hoboken, NJ: Wiley.
Fisher, D. C. and Reeves, R. B. 1995. Optimal Strategies for Random Tournament Games. Linear Algebra and Its Applications, 217, 83–85.
Fisher, D. C. and Ryan, J. 1995. Tournament Games and Positive Tournaments. Journal of GraphTheory, 19(2), 217–236.
Fitzsimmons, Z., Hemaspaandra, E., and Hemaspaandra, L. 2013. Control in the Presence of Manipulators: Cooperative and Competitive Cases. In Proceedings of the 23rd International Joint Conferenceon Artificial Intelligence (IJCAI), 113–119. Palo Alto, CA: AAAI.
Fleiner, T. 2003. On the Stable b-Matching Polytope. Mathematical Social Sciences, 46(2), 149–158.
Fleurbaey, M. And Maniquet, F. 2011. A Theory of Fairness and Social Welfare. New York: Cambridge University Press.
Foley, D. K. 1967. Resource Allocation and the Public Sector. Yale Economic Essays, 7(1), 45–98.
Fomin, F. V. and Kratsch, D. 2010. Exact Exponential Algorithms. New York: Springer.
Fomin, F. V., Lokshtanov, D., Raman, V., and Saurabh, S. 2010. Fast Local Search Algorithm for Weighted Feedback Arc Set in Tournaments. In Proceedings of the 24th AAAI Conference onArtificial Intelligence, 65–70. Palo Alto, CA: AAAI.
Frances, M. and Litman, A. 1997. On Covering Problems of Codes. Theory of Computing Systems, 30, 113–119.
Freeman, R., Brill, M., and Conitzer, V. 2014. On the Axiomatic Characterization of Runoff Voting Rules. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, 675–681. Palo Alto, CA: AAAI.
Freeman, R., Brill, M., and Conitzer, V. 2015. General Tiebreaking Schemes for Computational Social Choice. In Proceedings of the 14th International Conference on Autonomous Agents andMultiagent Systems (AAMAS), 1401–1409. Richland, SC: IFAAMAS.
Freixas, J. and Zwicker, W. S. 2009. Anonymous Yes-No Voting with Abstention and Multiple Levels of Approval. Games and Economic Behavior, 67, 428–444.
Friedgut, E., Kalai, G., and Nisan, N. 2008. Elections Can Be Manipulated Often. In Proceedings ofthe Annual Symposium on Foundations of Computer Science (FOCS), 243–249. New York: IEEE. Gaertner, W. 2006. A Primer in Social Choice Theory. New York: Oxford University Press.
Gairing, M. and Savani, R. 2010. Computing Stable Outcomes in Hedonic Games. In Proceedingsof the 3rd International Symposium on Algorithmic Game Theory (SAGT), 174–185. New York: Springer.
Gairing, M. and Savani, R. 2011. Computing Stable Outcomes in Hedonic Games with Voting- Based Deviations. In Proceedings of the 10th International Conference on Autonomous Agentsand Multiagent Systems (AAMAS), 559–566. Richland, SC: IFAAMAS.
Gale, D. and Shapley, L. S. 1962. College Admissions and the Stability of Marriage. AmericanMathematical Monthly, 69, 9–15.
Gale, D. and Sotomayor, M. 1985. Some Remarks on the Stable Matching Problem. Discrete AppliedMathematics, 11, 223–232.
Gamson, W. A. 1961. A Theory of Coalition Formation. American Sociological Review, 26, 373–382.
Gärdenfors, P. 1975. Match Making: Assignments Based on Bilateral Preferences. BehaviouralScience, 20, 166–173.
Gärdenfors, P. 1976. Manipulation of Social Choice Functions. Journal of Economic Theory, 13, 217–228.
Gärdenfors, P. 1979. On Definitions of Manipulation of Social Choice Functions. In Aggregation andRevelation of Preferences, ed. Laffont, J. J., 29–36. Amsterdam: North-Holland.
Gärdenfors, P. 2006. A Representation Theorem for Voting with Logical Consequences. Economicsand Philosophy, 22(2), 181–190.
Garey, M. R. and Johnson, D. S. 1979. Computers and Intractability: A Guide to the Theory ofNP-Completeness. New York: W. H. Freeman.
Garman, M. B. and Kamien, M. I. 1968. The Paradox of Voting: Probability Calculations. BehavioralScience, 13(4), 306–316.
Gaspers, S., Kalinowski, T., Narodytska, N., and Walsh, T. 2013. Coalitional Manipulation for Schulze's Rule. In Proceedings of the International Conference on Autonomous Agents and MultiagentSystems (AAMAS), 431–438. Richland, SC: IFAAMAS.
Gehrlein, W. V. 2002. Condorcet's Paradox and the Likelihood of Its Occurrence: Different Perspectives on Balanced Preferences. Theory and Decision, 52, 171–199.
Gehrlein, W. V. 2006. Condorcet's Paradox. New York: Springer.
Gehrlein, W. V. and Fishburn, P. C. 1976. Condorcet's Paradox and Anonymous Preference Profiles. Public Choice, 26(1), 1–18.
Gehrlein, W. V. and Fishburn, P. C. 1978. Coincidence Probabilities for Simple Majority and Positional Voting Rules. Social Science Research, 7(3), 272–283.
Geist, C. and Endriss, U. 2011. Automated Search for Impossibility Theorems in Social Choice Theory: Ranking Sets of Objects. Journal of Artificial Intelligence Research (JAIR), 40, 143– 174.
Gelain, M., Pini, M. S., Rossi, F., Venable, K. B., and Walsh, T. 2010. Elicitation Strategies for Soft Constraint Problems with Missing Preferences: Properties, Algorithms and Experimental Studies. Artificial Intelligence, 174(3–4), 270–294.
Gelain, M., Pini, M. S., Rossi, F., Venable, K. B., and Walsh, T. 2013. Local Search Approaches in Stable Matching Problems. Algorithms, 6(4), 591–617.
Ghodsi, A., Zaharia, M., Hindman, B., Konwinski, A., Shenker, S., and Stoica, I. 2011. Dominant Resource Fairness: Fair Allocation of Multiple Resource Types. In Proceedings of the 8th USENIXConference on Networked Systems Design and Implementation (NSDI), 24–37.
Berkeley: USENIX. Gibbard, A. 1973. Manipulation of Voting Schemes: A General Result. Econometrica, 41, 587–601.
Gibbard, A. 1977. Manipulation of Schemes that Mix Voting with Chance. Econometrica, 45, 665– 681.
Gillies, D. B. 1959. Solutions to General Non-zero-sum Games. In Contributions to the Theory of Games IV, ed. Tucker, A. W., and Luce, R. D., 47–85. Princeton, NJ: Princeton University Press.
Glorie, K. M., van de Klundert, J. J., and Wagelmans, A. P. M. 2014. Kidney Exchange with Long Chains: An Efficient Pricing Algorithm for Clearing Barter Exchanges with Branch-and-Price.
Manufacturing & Service Operations Management, 16(4), 498–512.
Goel, A. and Lee, D. 2012. Triadic Consensus: A Randomized Algorithm for Voting in a Crowd. In Proceedings of the 8th International Conference on Web and Internet Economics (WINE), 434–477. New York: Springer.
Golovin, D. 2005. Max-Min Fair Allocation of Indivisible Goods. Technical Report CMU-CS-05-144, School of Computer Science, Carnegie Mellon University.
Gonzales, C. and Perny, P. 2004. GAI Networks for Utility Elicitation. In Proceedings of the 9thInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 224– 234. Pal Alto, CA: AAAI Press.
Gonzales, C., Perny, P., and Queiroz, S. 2008. Preference Aggregation with Graphical Utility Models. In Proceedings of the AAAI Conference on Artificial Intelligence, 1037–1042. Palo Alto, CA: AAAI.
Good, I. J. 1971. A Note on Condorcet Sets. Public Choice, 10, 97–101.
Gordon, S. and Truchon, M. 2008. Social Choice, Optimal Inference and Figure Skating. SocialChoice and Welfare, 30(2), 265–284.
Gourvès, L., Monnot, J., and Tlilane, L. 2013. A Matroid Approach to the Worst Case Allocation of Indivisible Goods. In Proceedings of the 23rd International Joint Conference on ArtificialIntelligence (IJCAI), 136–142. Palo Alto, CA: AAAI.
Grabisch, M. 1997. k-order Additive Discrete Fuzzy Measure and Their Representation. Fuzzy Setsand Systems, 92, 167–189.
Graham, R. L. 1969. Bounds on Multiprocessing Timing Anomalies. SIAM Journal of AppliedMathematics, 17, 416–429.
Grandi, U. and Endriss, U. 2011. Binary Aggregation with Integrity Constraints. In Proceedings ofthe International Joint Conference on Artificial Intelligence (IJCAI), 204–209. Palo Alto, CA: AAAI.
Grandi, U. and Endriss, U. 2013. Lifting Integrity Constraints in Binary Aggregation. Artificial Intelligence, 199-200, 45-66.
Grandi, U., Loreggia, A., Rossi, R, Venable, K. B., and Walsh, T. 2013. Restricted Manipulation in Iterative Voting: Condorcet Efficiency and Borda Score.In Proceedings of the 3rd International Conference on Algorithmic Decision Theory (ADT), 181-192. New York: Springer.
Groh, C, Moldovanu, B., Sela, A., and Sunde, U. 2012. Optimal Seedings in Elimination Tourna¬ments. Economic Theory, 49(1), 59-80.
Grossi, D. and Pigozzi, G. 2014. Judgment Aggregation: A Primer.San Rafael, CA: Morgan and Claypool.
Guha, R., Kumar, R., Raghavan, P., and Tomkins, A. 2004. Propagation of Trust and Distrust.In Proceedings of the 13th International Conference on the World Wide Web, 403-412. New York: ACM.
Guilbaud, G.-T. 1952. Les Théories de l'Intérêt Général et le Problème Logique de l'AgrÉgation. économie Appliquée, 5(4), 501-584. English translation appears in Journal Électronique d'Histoire des Probabilités et de la Statistique, 44(1), 57, 2008.
Guo, J. and Niedermeier, R. 2007. Invitation to Data Reduction and Problem Kernelization. ACM SIGACTNews, 38(1), 31-45.
Gusfield, D. and Irving, R. W. 1989. The Stable Marriage Problem: Structure and Algorithms.Cambridge, MA: MIT Press.
Gutman,