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6 - Studies of Expertise from Psychological Perspectives: Historical Foundations and Recurrent Themes

from Part II - Overview of Approaches to the Study of Expertise: Brief Historical Accounts of Theories and Methods

Published online by Cambridge University Press:  10 May 2018

By
Paul J. Feltovich ,
Michael J. Prietula  and
K. Anders Ericsson
Edited by
K. Anders Ericsson ,
Robert R. Hoffman ,
Aaron Kozbelt  and
A. Mark Williams
K. Anders Ericsson
Affiliation:
Florida State University
Robert R. Hoffman
Affiliation:
Florida Institute for Human and Machine Cognition
Aaron Kozbelt
Affiliation:
Brooklyn College, City University of New York
A. Mark Williams
Affiliation:
University of Utah
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The Cambridge Handbook of Expertise and Expert Performance , pp. 59 - 83
Publisher: Cambridge University Press
Print publication year: 2018

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References

Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 89, 369–406.Google Scholar
Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem situations. Psychological Review, 94, 192–210.Google Scholar
Anderson, J. R., & Lebiere, C. (2003). The Newell Test for a theory of cognition. Behavioral and Brain Sciences, 26, 587–640.CrossRefGoogle ScholarPubMed
Anthony, G., Hunter, J., & Hunter, R. (2015). Prospective teachers’ development of adaptive expertise. Teaching and Teacher Education, 49, 108–117.Google Scholar
Ashby, F. G., & Crossley, M. J. (2012). Automaticity and multiple memory systems. WIREs Cognitive Sciences, 3, 363–376.Google Scholar
Ashby, W. R. (1952). Design for a brain. London: Chapman & Hall.Google Scholar
Augier, M., & March, J. G. (2011). The roots, rituals, and rhetorics of change: North American business schools after the Second World War. Stanford University Press.Google Scholar
Augier, M., & Prietula, M. J. (2009). Historical roots of the A Behavioral Theory of the Firm model at GSIA. Organization Science, 18, 507–522.Google Scholar
Baker, J., & Farrow, D. (eds.) (2015). Routledge handbook of sport expertise. London: Routledge.Google Scholar
Barrows, H. S., Feightner, J. W., Neufeld, V. R., & Norman, G. R. (1978). Analysis of the clinical methods of medical students and physicians. Final Report, Ontario Department of Health Grants ODH-PR-273 & ODH-DM-226. Hamilton, ON: McMaster University.Google Scholar
Barrows, H. S., & Tamblyn, R. M. (1980). Problem-based learning. New York: Springer.Google Scholar
Bartlett, F. (1958). Thinking. New York: Basic Books.Google Scholar
Berliner, D. C. (1988). Implications of studies of expertise in pedagogy for teacher education and evaluation. In Pfleiderer, J. (ed.), New directions for teacher assessment: Proceedings of the 1988 ETS Invitational Conference (pp. 39–67). Princeton, NJ: Educational Testing Service.Google Scholar
Bilalić, M., McLeod, P., & Gobet, F. (2008). Inflexibility of experts – reality or myth? Quantifying the Einstellung effect in chess masters. Cognitive Psychology, 56, 73–102.Google Scholar
Bloom, B. (ed.) (1985). Developing talent in young people. New York: Ballantine.Google Scholar
Boden, M. A. (2006). Mind as machine: A history of cognitive science. Oxford University Press.Google Scholar
Borko, H. (ed.) (1962). Computer applications in the behavioral sciences. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Brick, N., MacIntyre, T., & Campbell, M. (2015). Metacognitive processes in the self-regulation of performance in elite distance runners. Psychology of Sport and Exercise, 19, 1–9.CrossRefGoogle Scholar
Bruner, J. S., Goodnow, J. J., & Austin, G. A. (1956). A study of thinking. New York: John Wiley.Google Scholar
Buchanan, B. G., Davis, R., & Feigenbaum, E. A. (2006). Expert systems: A perspective from computer science, In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 87–103). Cambridge University Press.Google Scholar
Buchanan, B. G., & Feigenbaum, E. A. (1978). DENDRAL and MetaDENDRAL: Their applications dimension. Artificial Intelligence, 11, 5–24.Google Scholar
Camerer, C. E, & Johnson, E. J. (1991). The process-performance paradox in expert judgment: How can the experts know so much and predict so badly? In Ericsson, K. A. & Smith, J. (eds.), Toward a general theory of expertise: Prospects and limits (pp. 195–217). Cambridge University Press.Google Scholar
Charlin, B., Boshuizen, H. P. A, Custers, E., & Feltovich, P. J. (2007). Scripts and clinical reasoning. Medical Education, 41, 1178–1184.Google Scholar
Charness, N. (1976). Memory for chess positions: Resistance to interference. Journal of Experimental Psychology: Human Learning and Memory, 2, 641–653.Google Scholar
Charness, N. (1979). Components of skill in bridge. Canadian Journal of Psychology, 33, 1–50.Google Scholar
Charness, N. (1981). Search in chess: Age and skill differences. Journal of Experimental Psychology: Human Perception and Performance, 7, 467–476.Google Scholar
Chase, W. G. (1983). Spatial representations of taxi drivers. In Rogers, D. & Sloboda, J. A. (eds.), The acquisition of symbolic skills (pp. 391–406). New York: Plenum Press.CrossRefGoogle Scholar
Chase, W. G., & Simon, H. A. (1973a). The mind’s eye in chess. In Chase, W. G. (ed.), Visual information processing (pp. 215–281). New York: Academic Press.Google Scholar
Chase, W. G., & Simon, H. A. (1973b). Perception in chess. Cognitive Psychology, 1, 33–81.Google Scholar
Chi, M. T. H. (1978). Knowledge structures and memory development. In Siegler, R. S. (ed.), Children’s thinking: What develops? (pp. 73–96). Hillsdale, NJ: Erlbaum.Google Scholar
Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152.Google Scholar
Chi, M. T. H., Glaser, R., & Farr, M. J. (eds.) (1988). The nature of expertise. Hillsdale, NJ: Erlbaum.Google Scholar
Chiesi, H. L., Spilich, G. J., & Voss, J. F. (1979). Acquisition of domain-related information in relation to high and low domain knowledge. Journal of Verbal Learning and Verbal Behavior, 18, 257–274.CrossRefGoogle Scholar
Choudhry, N. K., Fletcher, R. H., & Soumerai, S. B. (2005). Systematic review: The relationship between clinical experience and quality of health care. Annals of Internal Medicine, 142, 260–273.Google Scholar
Collins, A. (1977). Why cognitive science? Cognitive Science, 1, 1–2.Google Scholar
Dawes, R. M. (1994). House of cards: Psychology and psychotherapy built on myth. New York: Free Press.Google Scholar
de Groot, A. (1946). Het denken van den schaker. Amsterdam: Noord-Hollandsche Uit. Mij.Google Scholar
de Groot, A. (1965). Thought and choice in chess. The Hague: Mouton.Google Scholar
Duncker, K. (1945). On problem solving. Psychological Monographs, 58, 1–113.Google Scholar
Dutton, J. M., & Starbuck, W. H. (eds.) (1971). Computer simulation of human behavior. New York: John Wiley.Google Scholar
Elstein, A. S., Shulman, L. S., & Sprafka, S. A. (1978). Medical problem solving. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Epstein, D. (2013). The sports gene: Inside the science of extraordinary athletic performance. New York: Current.Google Scholar
Ericsson, K. A. (ed.) (1996). The road to excellence: The acquisition of expert performance in the arts and sciences, sports and games. Mahwah, NJ: Erlbaum.Google Scholar
Ericsson, K. A. (2004). Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Academic Medicine, 10, S1–S12.Google Scholar
Ericsson, K. A. (ed.) (2009). Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments. Cambridge University Press.Google Scholar
Ericsson, K. A. (2014). Why expert performance is special and cannot be extrapolated from studies of performance in the general population: A response to criticisms. Intelligence, 45, 81–103.Google Scholar
Ericsson, K. A. (2015). Acquisition and maintenance of medical expertise: A perspective from the expert-performance approach with deliberate practice. Academic Medicine, 90, 1471–1486.Google Scholar
Ericsson, K. A., & Charness, N. (1994). Expert performance: Its structure and acquisition. American Psychologist, 49, 725–747.Google Scholar
Ericsson, K. A., & Charness, N. (1995). Abilities: Evidence for talent or characteristics acquired through engagement in relevant activities. American Psychologist, 50, 803–804.CrossRefGoogle Scholar
Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.) (2006). The Cambridge handbook of expertise and expert performance. Cambridge University Press.Google Scholar
Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211–245.Google Scholar
Ericsson, K. A., & Kintsch, W. (2000). Shortcomings of generic retrieval structures with slots of the type that Gobet (1993) proposed and modeled. British Journal of Psychology, 91, 571–588.Google Scholar
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406.Google Scholar
Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence on maximal adaptations on task constraints. Annual Review of Psychology, 47, 273–305.Google Scholar
Ericsson, K. A., Patel, V. L., & Kintsch, W. (2000). How experts’ adaptations to representative task demands account for the expertise effect in memory recall: Comment on Vicente and Wang (1998). Psychological Review, 107, 578–592.Google Scholar
Ericsson, K. A., & Pool, R. (2016). Peak: Secrets from the new science of expertise. New York: Houghton Mifflin Harcourt.Google Scholar
Ericsson, K. A., Prietula, M., & Cokely, E. (2007). The making of an expert. Harvard Business Review, July–August, 114–121.Google Scholar
Ericsson, K. A. Roring, R. W., & Nandagopal, K. (2007). Misunderstandings, agreements, and disagreements: Toward a cumulative science of reproducibly superior aspects of giftedness. High Ability Studies, 18, 97–115.Google Scholar
Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87, 215–251.Google Scholar
Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as data (revised edn.). Cambridge, MA: Bradford Books/MIT Press.Google Scholar
Ericsson, K. A., & Smith, J. (eds.) (1991a). Toward a general theory of expertise: Prospects and limits. Cambridge University Press.Google Scholar
Ericsson, K. A., & Smith, J. (1991b). Prospects and limits in the empirical study of expertise: An introduction. In Ericsson, K. A. and Smith, J. (eds.), Toward a general theory of expertise: Prospects and limits (pp. 1–38). Cambridge University Press.Google Scholar
Ericsson, K. A., & Ward, P. (2007). Capturing the naturally occurring superior performance of experts in the laboratory: Toward a science of expert and exceptional performance. Current Directions in Psychological Science, 16, 346–350.Google Scholar
Ericsson, K. A., Whyte, J., & Ward, P. (2007). Expert performance in nursing: Reviewing research on expertise in nursing within the framework of the expert-performance approach. Advances in Nursing Science, 30, E58–E71.Google Scholar
Ernst, G., & Newell, A. (1969). GPS: A case-study in generality and problem solving. New York: Academic Press.Google Scholar
Farrow, D., & Baker, J. (eds.) (2013). Developing sport expertise: Researchers and coaches put theory into practice (2nd edn.). London: Routledge.CrossRefGoogle Scholar
Feigenbaum, J., & Feldman, J. (eds.) (1963). Computers and thought. New York: McGraw-Hill.Google Scholar
Feldon, D. F. (2006). The implications of research on expertise for curriculum and pedagogy. Educational Psychology Review, 19, 91–110.Google Scholar
Feltovich, P. J., & Barrows, H. S. (1984). Issues of generality in medical problem solving. In Schmidt, H. G. & De Volder, M. L. (eds.), Tutorials in problem based learning: New directions in teaching the health professions (pp. 128–140). Assen: Van Gorcum.Google Scholar
Feltovich, P. J., Ford, K. M., & Hoffman, R. R. (eds.) (1997). Expertise in context: Human and machine. Menlo Park, CA: AAAI Press.Google Scholar
Feltovich, P. J., Johnson, P. E, Moller, J., & Swanson, D. (1984). The role and development of medical knowledge in diagnostic expertise. In Clancey, W. & Shortliffe, E. (eds.), Readings in medical artificial intelligence: The first decade (pp. 275–319). Reading, MA: Addison-Wesley.Google Scholar
Feltovich, P. J., Spiro, R. J., & Coulson, R. L. (1997). Issues of expert flexibility in contexts characterized by complexity and change. In Feltovich, P. J., Ford, K. M., & Hoffman, R. R. (eds.), Expertise in context: Human and machine (pp. 125–146). Menlo Park, CA: AAAI Press.Google Scholar
Fitts, P. M., & Posner, M. I. (1967). Human performance. Belmont, CA: Brookes Cole.Google Scholar
Fox, M. C., Ericsson, K. A., & Best, R. (2011). Do procedures for verbal reporting of thinking have to be reactive? A meta-analysis and recommendations for best reporting methods. Psychological Bulletin, 137, 316–344.Google Scholar
Gagné, F. (2013). Yes, giftedness (aka “innate” talent) does exist! In Kaufman, S. B. (ed.), The complexity of greatness: Beyond talent or practice (pp. 191–221). Oxford University Press.Google Scholar
Gardner, A. K., Jabbour, I. J., Williams, B. H., & Huerta, S. (2015). Different goals, different pathways: The role of metacognition and task engagement in surgical skill acquisition. Journal of Surgical Education, 73, 61–65.Google Scholar
Gardner, H. (1995). Why would anyone become an expert? [Commentary on Ericsson & Charness, 1994]. American Psychologist, 50, 802–803.CrossRefGoogle Scholar
Glaser, R. (1976). Cognition and instructional design. In Klahr, D. (ed.), Cognition and instruction (pp. 303–315). Hillsdale, NJ: Erlbaum.Google Scholar
Glaser, R., & Chi, M. T. H. (1988). Overview. In Chi, M. T. H., Glaser, R., & Farr, M. J. (eds.), The nature of expertise (pp. xv–xxviii). Hillsdale, NJ: Erlbaum.Google Scholar
Groen, G. J., & Patel, V. L. (1988). The relationship between comprehension and reasoning in medical expertise. In Chi, M. T. H., Glaser, R., & Farr, M. J. (eds.), The nature of expertise (pp. 287–310). Hillsdale, NJ: Erlbaum.Google Scholar
Hacker, D. J., Dunlosky, J., & Graesser, A. C. (eds.) (2009). Handbook of metacognition in education. New York: Routledge.Google Scholar
Hambrick, D., & Engle, R. (2002). Effects of domain knowledge, working memory capacity, and age on cognitive performance: An investigation of the knowledge-is-power hypothesis. Cognitive Psychology, 44, 339–387.Google Scholar
Hatano, G., & Inagaki, K. (1986). Two courses of expertise. In Stevenson, H., Azum, A., & Hakuta, K. (eds.), Child development and education in Japan (pp. 262–272). San Francisco: Freeman.Google Scholar
Hebb, D. O. (1949). The organization of behavior: A neuropsychological approach. New York: John Wiley.Google Scholar
Hélie, S., & Cousineau, D. (2011). The cognitive neuroscience of automaticity: Behavioral and brain signatures. Cognitive Sciences, 6, 25–43.Google Scholar
Hoffman, R. R. (ed.) (1992). The psychology of expertise. New York: Springer-Verlag.Google Scholar
Hoffman, R. R. (ed.) (2007). Expertise out of context: Proceedings of the Sixth International Conference on Naturalistic Decision Making. Mahwah, NJ: Erlbaum.Google Scholar
Hoffman, R. R., & Deffenbacher, K. (1992). A brief history of applied cognitive psychology. Applied Cognitive Psychology, 6, 1–48.Google Scholar
Hoffman, R. R., & Militello, L. G. (2008). Perspectives on cognitive task analysis: Historical origins and modern communities of practice. Boca Raton, FL: CRC Press/Taylor & Francis.Google Scholar
Hoffman, R. R., Ward, P., Feltovich, P. J., DiBello, L., Fiore, S. M., & Andrews, D. (2014). Accelerated expertise: Training for high proficiency in a complex world. New York: Psychology Press.Google Scholar
Horn, J., & Masunaga, H. (2006). A merging theory of expertise and intelligence. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 587–611). Cambridge University Press.CrossRefGoogle Scholar
Hovland, C. I. (1960). Computer simulation of thinking. American Psychologist, 15, 687–694.Google Scholar
Hunt, E. B., & Hovland, C. I. (1961). Programming a model of human concept formation. Paper presented at the 1961 Western Joint Computer Conference, May 9–11.Google Scholar
Hunt, M. (1993). The story of psychology. New York: Anchor Books.Google Scholar
Jeffries, R., Turner, A. A., Polson, P. G., & Atwood, M. E. (1981). The processes involved in software design. In Anderson, J. R. (ed.), Cognitive skills and their acquisition (pp. 255–283). Hillsdale, NJ: Erlbaum.Google Scholar
Johnson, P. E., Duran, A. S., Hassebrock, F., Moller, J., Prietula, M. J., Feltovich, P. J., & Swanson, D. B. (1981). Expertise and error in diagnostic reasoning. Cognitive Science, 5, 235–283.Google Scholar
Kaub, K., Karbach, J., Spinath, F., & Brunken, R. (2016). Person–job fit in the field of teacher education: An analysis of vocational interests and requirements among novice and professional science and language teachers. Teaching and Teacher Education, 55, 217–227.Google Scholar
Keller, N., Cokely, E., Katsikopoulos, K., & Wegwarth, O. (2010). Naturalistic heuristics for decision making. Journal of Cognitive Engineering and Decision Making, 4, 256–274.Google Scholar
Klein, D., Woods, D., Klein, G., & Perry, S. (2016). Can we trust best practices? Six cognitive challenges of evidence-based approaches. Journal of Cognitive Engineering and Decision Making, 10, 244–254.Google Scholar
Klein, G. (1998). Sources of power: How people make decisions. Cambridge, MA: MIT Press.Google Scholar
Klein, G. (2008). Naturalistic decision making. Human Factors, 50, 456–460.Google Scholar
Klein, G. (2016). The ShadowBox approach to cognitive skills training: An empirical evaluation. Journal of Cognitive Engineering and Decision Making, 10, 268–280.Google Scholar
Klein, G., Calderwood, R., & Clinton-Cirocco, A. (1986). Rapid decision making on the fireground. Proceedings of the Human Factors and Ergonomics Society, 1, 576–580.Google Scholar
Klein, G., & Hoffman, R. R. (1993). Seeing the invisible: Perceptual-cognitive aspects of expertise. In Rabinowitz, M. (ed.), Cognitive science foundations of instruction. Hillsdale, NJ: Erlbaum.Google Scholar
Koschmann, T. D., LeBaron, C., Goodwin, C., & Feltovich, P. J. (2001). Dissecting common ground: Examining an instance of reference repair. In Proceedings of the 23rd Conference of the Cognitive Science Society. Mahwah, NJ: Erlbaum.Google Scholar
Kruglanski, A. W., & Gigerenzer, G. (2011). Intuitive and deliberate judgments are based on common principles. Psychological Review, 118, 97–109.CrossRefGoogle ScholarPubMed
Larkin, J., McDermott, J., Simon, D., & Simon, H. A. (1980). Expert and novice performance in solving physics problems. Science, 208, 1335–1342.Google Scholar
Lesgold, A. M., Rubinson, H., Feltovich, P. J., Glaser, R., Klopfer, D., & Wang, Y. (1988). Expertise in a complex skill: Diagnosing X-ray pictures. In Chi, M. T. H., Glaser, R., & Farr, M. J. (eds.), The nature of expertise (pp. 311–342). Hillsdale, NJ: Erlbaum.Google Scholar
Liu, H., Agam, Y., Madsen, J. R., & Kreiman, G. (2009). Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex. Neuron, 62, 281–290.Google Scholar
MacIntyre, T. E., Igour, E. R., Campbell, M. J., Moran, A. P., & Matthews, J. (2014). Metacognition and action: A new pathway to understanding social and cognitive aspects of expertise in sport. Frontiers in Psychology, 5, e1155.Google Scholar
McCorduck, P. (1979). Machines who think: A personal inquiry into the history and prospects of artificial intelligence. San Francisco: W. H. Freeman.Google Scholar
McCulloch, W. S., & Pitts, W. (1943). A logical calculus of ideas immanent in nervous activity. Bulletin of Mathematical Biophysics, 5, 115–133.Google Scholar
McGugin, R. W., Newton, A. T., Gore, J. C., & Gauthier, I. (2014). Robust expertise effects in right FFA. Neuropsychologia, 63, 135–144.Google Scholar
Miller, G. A. (1956). The magical number seven plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.Google Scholar
Miller, G. A., Galanter, E., & Pribram, K. H. (1960). Plans and the structure of behavior. New York: Holt.Google Scholar
Moxley, J. H., Ericsson, K. A., Charness, N., & Krampe, R. T. (2012). The role of intuition and deliberative thinking in experts’ superior tactical decision making. Cognition, 124, 72–78.Google Scholar
Newell, A. (1969). Heuristic programming: Ill-structured problems. In Aronofsky, J. S. (ed.), Progress in operations research (pp. 361–414). New York: John Wiley.Google Scholar
Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.Google Scholar
Newell, A., & Shaw, J. C. (1957). Programming the logic theory machine. Paper presented at the 1957 Western Joint Computer Conference, February 26–28.Google Scholar
Newell, A., Shaw, J. C., & Simon, H. A. (1958). Elements of a theory of problem solving. Psychological Review, 65, 151–166.Google Scholar
Newell, A., & Simon, H. A. (1956). The logic theory machine: A complex information processing system. IRE Transactions on Information Theory, IT-2, No. 3, 61–79.Google Scholar
Newell, A., & Simon, H. A. (1961). GPS, a program that simulates human thought. In Billing, H. (ed.), Lernende Automaten (pp. 109–124). Munich: Oldenbourg.Google Scholar
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Noice, H., & Noice, T. (2006). Artistic performance: Acting, ballet and contemporary dance. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 489–503). Cambridge University Press.CrossRefGoogle Scholar
Patel, V. L., & Groen, G. J. (1991). The general and specific nature of medical expertise: A critical look. In Ericsson, K. A. & Smith, J. (eds.), Toward a general theory of expertise: Prospects and limits (pp. 93–125). Cambridge University Press.Google Scholar
Pauker, S. G., Gorry, G. A., Kassirer, J. P., & Schwartz, W. B. (1976). Towards simulation of clinical cognition: Taking a present illness by computer. American Journal of Medicine, 60, 981–996.Google Scholar
Pelaccia, T., Tardif, J., Triby, E., Ammirati, C., Bertrand, C., Dory, V., & Charlin, B. (2016). From context comes expertise: How do expert emergency physicians use their know-who to make decisions? Annals of Emergency Medicine, 67, 747–751.Google Scholar
Prietula, M. J. (2011). Thoughts on complexity and computational models. In Allen, P., Maguire, S., & McKelvey, B. (eds.), The SAGE handbook of complexity and management (pp. 93–110). Thousand Oaks, CA: Sage Publications.Google Scholar
Reitman, W. R. (1965). Cognition and thought. New York: John Wiley.Google Scholar
Rosenbaum, D. A., Augustyn, J. S., Cohen, R. G., & Jax, S. A. (2006). Perceptual-motor expertise. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 505–520). Cambridge University Press.Google Scholar
Samuel, A. L. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 3, 210–229.Google Scholar
Shanteau, J., & Stewart, T. R. (1992). Why study expert decision making? Some historical perspectives and comments. Organizational Behavior and Human Decision Processes, 53, 95–106.Google Scholar
Shortliffe, E. H. (1976). Computer-based medical consultations: MYCIN. New York: American Elsevier.Google Scholar
Simon, H. A. (1969). The sciences of the artificial. Cambridge, MA: MIT Press.Google Scholar
Simon, H. A. (1990). Invariants of human behavior. Annual Review of Psychology, 41, 1–19.Google Scholar
Simon, H. A., & Chase, W. G. (1973). Skill in chess. American Scientist, 61, 394–403.Google Scholar
Sonnentag, S., Niessen, C., & Volmer, J. (2006). Expertise in software design. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 373–387). Cambridge University Press.Google Scholar
Spilich, G. J., Vesonder, G. T., Chiesi, H. L., & Voss, J. F. (1979). Text processing of domain-related information for individuals with high and low domain knowledge. Journal of Verbal Learning and Verbal Behavior, 14, 506–522.Google Scholar
Starkes, J. L., & Allard, F. (eds.) (1993). Cognitive issues in motor expertise. Amsterdam: North-Holland.Google Scholar
Starkes, J., & Ericsson, K. A. (eds.) (2003). Expert performance in sport: Recent advances in research on sport expertise. Champaign, IL: Human Kinetics.Google Scholar
Sun, R. (ed.) (2008). The Cambridge handbook of computational psychology. Cambridge University Press.Google Scholar
von Neumann, J. (1958). The computer and the brain. New Haven, CT: Yale University Press.Google Scholar
Voss, J. F., & Post, T. A. (1988). On the solving of ill-structured problems. In Chi, M. T. H., Glaser, R., & Farr, M. J. (eds.), The nature of expertise (pp. 261–285). Hillsdale, NJ: Erlbaum.Google Scholar
Ward, P., Williams, A. M., & Hancock, P. A. (2006). Simulation for performance and training. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 243–262). Cambridge University Press.Google Scholar
Wason, P. M., & Johnson-Laird, P. N. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.Google Scholar
Wears, R., & Schuber, C. (2016). Visualising expertise in context. Annals of Emergency Medicine, 67, 752–754.Google Scholar
Wilding, J. M., & Valentine, E. M. (2006). Exceptional memory. In Ericsson, K. A., Charness, N., Hoffman, R. R., & Feltovich, P. J. (eds.), The Cambridge handbook of expertise and expert performance (pp. 457–470). Cambridge University Press.Google Scholar
Winne, P. H., & Nesbit, J. C. (2009). The psychology of academic achievement. Annual Review of Psychology, 61, 653–678.Google Scholar
Wolfe, J. M. (1998). What can 1 million trials tell us about visual search? Psychological Science, 9, 33–39.Google Scholar
Yu, B., Honda, T., Sharqawy, M., & Yang, M. (2016). Human behavior and domain knowledge in parameter design of complex systems. Design Studies, 45, 242–267.Google Scholar
Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45, 166–183.Google Scholar

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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

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