Bylander, T. and Mittal, S. 1986. CSRL: A language for classificatory problem solving and uncertainty handling. Al Magazine 7 (3), 66–77.
Chandrasakeran, B., Mittal, S., and Smith, J. W. 1982. Reasoning with uncertain knowledge: the MDX approach. Proceedings of the Congress of American Medical Informatics Association, San Francisco, pp. 335–339.
Cohen, P., Day, D., Delisio, J., Greenberg, M., Kjeldsen, R., Suthers, D., and Berman, P. 1987. Management of uncertainty in medicine. International Journal of Approximate Reasoning. 1(1). Forthcoming.
Gruber, T. R. and Cohen, P. R. 1987. Design for acquisition: principles of knowledge system design to facilitate knowledge acquisition. International Journal of Man Machine Studies 26, 143–159.
Patil, R.S., Szolovits, P. and Schwartz, W. B. 1981. Causal understanding of patient illness in medical diagnosis. Proceedings of 7th International Conference on Artificial Intelligence. British Columbia: William Kaufmann Publishers, pp. 893–899.
Pauker, S., Gorry, G., Kassirer, J. and Schwartz, W. 1976. Toward the simulation of clinical cognition: Taking a present illness by computer. American Journal of Medicine. 60, 981–995.
Pearl, J. 1986. Fusion, propagation, and structuring in Bayesian networks. Artificial Intelligence 29, 24–288.
Pople, H. 1977. The formation of composite hypotheses in diagnostic problem solving—an exercise in synthetic reasoning, Proceedings of the Fifth International Joint Conference on Artificial Intelligence. British Columbia: William Kaufmann. pp. 1030–1037.
Samuel, A. L. 1959. Some studies in machine learning using the game of checkers. IBM Journal of Research and Development 3, 210–229.
Shafer, G. 1981. Jeffrey's rule of conditioning. Philosophy of Science 48(3), 337–362.
Shortliffe, E. 1976. Computer-Based Medical Consultations: MYCIN. New York: American Elsevier.
Shortliffe, E. H. and Buchanan, B. G. 1975. A model of inexact reasoning in medicine. Mathematical Biosciences 23, 351–379.
Shafer, G. and Tversky, A. 1985 Languages and Designs for Probability Judgment, Cognitive Science 9, 309–339.
Shenoy, P. and Shafer, G. 1986. Propagating belief functions with local computations. IEEE Expert 1(3), 43–52.
Trigoboff, M. 1978. IRIS: A framework for the construction of clinical consultation systems. Doctoral dissertation, Computer Science Dept. Rutgers University.
Weiss, Kulikowski and Safir, . 1977. A model-based consultation system for the long-term management of Glaucoma. Proceedings of the Fifth International Joint Conference on Artificial Intelligence. British Columbia: William Kaufmann. pp. 826–832.