Advertisement

Psychological Research

, Volume 54, Issue 1, pp 4–9 | Cite as

The impact of chess research on cognitive science

  • Neil Charness
Article

Summary

Although chess research has not been a mainstream activity in cognitive science, it has had a significant impact on this field because of the experimental and theoretical tools it has provided. The two most-cited references in chess research, de Groot (1965) and Chase and Simon (1973 a), have accumulated over 250 citations each (SSCI andSCI sources summed), with the majority of citations coming a decade or more from their publication dates. Both works are frequently cited in contemporary cognitive-psychology textbooks. Chess playing provides a model task environment for the study of basic cognitive processes, such as perception, memory, and problem solving. It also offers a unique opportunity for the study of individual differences (chess expertise) because of Elo's (1965, 1978) development of a chess-skill rating scale. Chess has also enjoyed a privileged position in Artificial-Intelligence research as a model domain for exploring search and evaluation processes.

Keywords

Individual Difference Cognitive Process Evaluation Process Model Domain Publication Date 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allard, F., & Starkes, J. L. (1980). Perception in sport: Volleyball.Journal of Sport Psychology, 2, 22–33.Google Scholar
  2. Allard, F., Graham, S., & Paarsalu, M. E. (1980). Perception in sport: Basketball.Journal of Sport Psychology, 2, 14–21.Google Scholar
  3. Anderson, J. R. (1990).Cognitive psychology and its implications (3rd ed.). New York: W. H. Freeman.Google Scholar
  4. Ashcraft, M. H. (1989).Human memory and cognition. Glenview, IL: Scott, Foresman.Google Scholar
  5. Batchelder, W. H., & Bershad, N. J. (1979). The statistical analysis of a Thurstonian model for rating chess players.Journal of Mathematical Psychology, 19, 39–60.Google Scholar
  6. Beal, A. L. (1985). The skill of recognizing musical structures.Memory & Cognition, 13, 405–412.Google Scholar
  7. Berliner, H. (1978). A chronology of computer chess and its literature.Artificial Intelligence, 10, 201–214.Google Scholar
  8. Berliner, H. (1979). The B* tree search algorithm: A best-first proof procedure.Artificial Intelligence, 12, 23–40.Google Scholar
  9. Berliner, H. J. (1981). Search vs. knowledge: An analysis from the domain of games. Paper presented at the NATO Symposium on Human and Artificial Intelligence, Lyons, France, October, 1981. Available as CMU-CS-82-103 from Computer Science Department, Carnegie-Mellon University.Google Scholar
  10. Berliner, H., & Ebeling, C. (1989). Pattern knowledge and search: The SUPREM architecture.Artificial Intelligence, 38, 161–198.Google Scholar
  11. Best, J. B. (1989).Cognitive psychology (2nd ed.). Saint Paul, MN: West.Google Scholar
  12. Binet, A. (1894).Psychologie des grands calculateurs et joueurs d'échecs. Paris: Hachette.Google Scholar
  13. Binet, A. (1966). Mnemonic virtuosity: A study of chess players.Journal of Genetic Psychology, 74, 127–162. Translated fromRevue des Deux Mondes, 117, 826–859,(1893).Google Scholar
  14. Bourne, L. E., Dominowski, R. L., Loftus, E. F., & Healey, A. F. (1986).Cognitive processes (2nd ed.). Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  15. Bramer, M. A. (1982). Pattern-based representations of knowledge in the game of chess.International Journal of Man-Machine Studies, 16, 439–448.Google Scholar
  16. Calderwood, B., Klein, G. A., & Crandall, B. W. (1988). Time pressure, skill, and move quality in chess.American Journal of Psychology, 101, 481–493.Google Scholar
  17. Charness, N. (1976). Memory for chess positions: Resistance to interference.Journal of Experimental Psychology: Human Learning and Memory, 2, 641–653.Google Scholar
  18. Charness, N. (1979). Components of skill in bridge.Canadian Journal of Psychology, 33, 1–16.Google Scholar
  19. Charness, N. (1981 a). Aging and skilled problem solving.Journal of Experimental Psychology: General, 110, 21–38.Google Scholar
  20. Charness, N. (1981 b). Search in chess: Age and skill differences.Journal of Experimental Psychology: Human Perception and Performance, 7, 467–476.Google Scholar
  21. Charness, N. (1981 c). Visual short-term memory and aging in chess players.Journal of Gerontology, 36, 615–619.Google Scholar
  22. Charness, N. (1989). Expertise in chess and bridge. In D. Klahr & K. Kotovsky (Eds.),Complex information processing: The impact of Herbert A. Simon (pp. 183–208). Hillsdale, NJ: Erlbaum.Google Scholar
  23. Chase, W. G., & Simon, H. A. (1973 a). Perception in chess.Cognitive Psychology, 4, 55–81.Google Scholar
  24. Chase, W. G., & Simon, H. A. (1973b). The mind's eye in chess. In W. G. Chase (Ed.),Visual information processing (pp. 215–281). New York: Academic Press.Google Scholar
  25. Chi, M. T. H. (1978). Knowledge structures and memory development. In R. S. Siegler (Ed.),Children's thinking: What develops? (pp. 73–96). Hillsdale, NJ: Erlbaum.Google Scholar
  26. Clarke, M. R. B. (1989). Adversary problem solving by machine. In K. J. Gilhooly (Ed.),Human and machine problem solving (pp. 57–81). New York: Plenum.Google Scholar
  27. Cleveland, A. A. (1907). The psychology of chess and of learning to play it.American Journal of Psychology, 18, 269–308.Google Scholar
  28. Cranberg, L., & Albert, M. L. (1988). The chess mind. In L. K. Obler & D. Fein (Eds.),The exceptional brain. Neuropsychology of talent and special abilities (pp. 156–190). New York: Guilford Press.Google Scholar
  29. de Groot, A. D. (1965).Thought and choice in chess (2nd ed. 1978). The Hague: Mouton.Google Scholar
  30. Doll, J., & Mayr, U. (1987). Intelligenz and Schachleistung — eine Untersuchung an Schachexperten.Psychologische Beitrdge, 29, 270–289.Google Scholar
  31. Egan, D. E., & Schwartz, B. J. (1979). Chunking in recall of symbolic drawings.Memory & Cognition, 7, 149–158.Google Scholar
  32. Ellis, S. H. (1973). Structure and experience in the matching and reproduction of chess patterns. Unpublished doctoral dissertation, Carnegie-Mellon University. Dissertation Abstracts 73–26, 954.Google Scholar
  33. Ellis, H. C., & Hunt, R. R. (1989).Fundamentals of human memory and cognition (4th ed.). Dubuque, IA: Wm. C. Brown.Google Scholar
  34. Elo, A. E. (1965). Age changes in master chess performances.Journal of Gerontology, 20, 289–299.Google Scholar
  35. Elo, A. E. (1978).The rating of chessplayers, past and present. New York: Arco.Google Scholar
  36. Ericsson, K. A., & Simon, H. A. (1984).Protocol analysis. Cambridge, MA: Bradford Books.Google Scholar
  37. Eysenck, M. W. (1986).A handbook of cognitive psychology. London: Erlbaum.Google Scholar
  38. Fisk, A. D., & Lloyd, S. J. (1988). The role of stimulus-to-rule consistency in learning rapid application of spatial rules.Human Factors, 30, 35–49.Google Scholar
  39. Gellatly, A. (1986).The skillful mind. Philadelphia: Open University Press.Google Scholar
  40. Glass, A. L., & Holyoak, K. J. (1986).Cognition (2nd ed.). New York: Random House.Google Scholar
  41. Goldin, S. E. (1978 a). Effects of orienting tasks on recognition of chess positions.American Journal of Psychology, 91, 659–671.Google Scholar
  42. Goldin, S. E. (1978b). Memory for the ordinary: Typicality effects in chess memory.Journal of Experimental Psychology: Human Learning and Memory, 4, 605–616.Google Scholar
  43. Goldin, S. E. (1979). Recognition memory for chess positions: Some preliminary research.American Journal of Psychology, 92, 19–31.Google Scholar
  44. Greene, J. (1987).Memory, thinking, and language: Topics in cognitive psychology. London: Methuen.Google Scholar
  45. Holding, D. H. (1979). The evaluation of chess positions.Simulation and Games, 10, 207–221.Google Scholar
  46. Holding, D. H. (1985).The psychology of chess skill. Hillsdale, NJ: Erlbaum.Google Scholar
  47. Holding, D. H. (1988). Evaluation factors in human tree search.American Journal of Psychology, 102, 103–108.Google Scholar
  48. Holding, D. H. (1989 a). Search during speed chess. Paper presented at the Psychonomic Society Meetings, Atlanta.Google Scholar
  49. Holding, D. H. (1989b). Adversary problem solving by Humans. In K. J. Gilhooly (Ed.),Human and machine problem solving (pp. 83–122). New York: Plenum.Google Scholar
  50. Holding, D. H. (1989c). Counting backward during chess move choice.Bulletin of the Psychonomic Society, 27, 421–424.Google Scholar
  51. Holding, D. H., & Pfau, H. D. (1985). Thinking ahead in chess.American Journal of Psychology, 98, 271–282.Google Scholar
  52. Holding, D. H., & Reynolds, R. I. (1982). Recall or evaluation of chess positions as determinants of chess skill.Memory & Cognition, 10 237–242.Google Scholar
  53. Hooper, D., & Whyld, K. (1984).The Oxford companion to chess. Oxford: Oxford University press.Google Scholar
  54. Horgan, D. D., & Morgan, D. (1990). Chess expertise in children.Applied Cognitive Psychology, 4, 109–128.Google Scholar
  55. Hsu, F., Anantharaman, T., Campbell, M., & Nowatzyk, A. (1990). A grandmaster chess machine.Scientific American, 263, 44–50.Google Scholar
  56. Lane, D. M., & Robertson, L. (1979). The generality of the levels of processing hypothesis: An application to memory for chess positions.Memory & Cognition, 7, 253–256.Google Scholar
  57. Lehman, H. C. (1953).Age and achievement. Princeton, NJ: Princeton University Press.Google Scholar
  58. Lories, G. (1987). Recall of random and non random chess positions in strong and weak chess players.Psychologica Belgica, 27, 153–159.Google Scholar
  59. Matlin, M. W. (1989).Cognition (2nd ed.). New York: Holt, Rinehart, & Winston.Google Scholar
  60. Milojkovic, J. D. (1982). Chess imagery in novice and master.Journal of Mental Imagery 6, 125–144.Google Scholar
  61. Newell, A. (1973). You can't play 20 questions with nature and win: Projective comments on the papers of this symposium. In W. G. Chase (Ed.).Visual information processing (pp. 283–308). New York: Academic Press.Google Scholar
  62. Newell, A., & Simon, H. A. (1972).Human problem solving. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  63. Patel, V. L., & Groen, G. J. (1986). Knowledge based solution strategies in medical reasoning.Cognitive Science, 10, 91–116.Google Scholar
  64. Pfau, H. D., & Murphy, M. D. (1988). Role of verbal knowledge in chess skill.American Journal of Psychology, 101, 73–86.Google Scholar
  65. Pritchard, R. D., Campbell, K. M., & Campbell, D. J. (1977). Effects of extrinsic financial rewards on intrinsic motivation.Journal of Applied Psychology, 62, 9–15.Google Scholar
  66. Reed, S. K. (1988).Cognition: Theory and applications (2nd ed.). Pacific Grove, CA: Brooks/Cole.Google Scholar
  67. Saariluoma, P. (1985). Chess players' intake of task-relevant cues.Memory & Cognition, 13, 385–391.Google Scholar
  68. Saariluoma, P. (1989). Chess players' recall of auditorally presented chess positions.European Journal of Psychology, 1, 309–320.Google Scholar
  69. Saariluoma, P. (1990a). Apperception and restructuring in chess players' problem solving. In K. J. Gilhooly, M. T. G. Keane, R. H. Logie, & G. Erdos (Eds.),Lines of thinking: Reflections on the psychology of thought (Vol. 2, pp. 41–57). London: John Wiley.Google Scholar
  70. Saariluoma, P. (1990b). Chess players' search for task relevant cues: Are chunks relevant? In D. Brogan (Ed.),Visual search (pp. 115–121). London: Taylor & Francis.Google Scholar
  71. Sanford, A. J. (1985).Cognition and cognitive psychology. London: Weidenfeld & Nicolson.Google Scholar
  72. Schaeffer, J. (1986). Experiments in search and knowledge. Technical Report TR 86-12, Department of Computing Science, University of Alberta, (Ph. D. thesis from University of Waterloo, May 1986).Google Scholar
  73. Simon, H. A., & Barenfeld, M. (1969). Information processing analysis of perceptual processes in problem solving.Psychological Review, 76, 473–483.Google Scholar
  74. Simon, H. A., & Chase, W. G. (1973). Skill in chess.American Scientist, 61, 394–403.Google Scholar
  75. Simon, H. A., & Gilmartin, K. (1973). A simulation of memory for chess positions.Cognitive Psychology, 5, 29–46.Google Scholar
  76. Simon, D. P., & Simon, H. A. (1978). Individual differences in solving physics problems. In R. Siegler (Ed.),Children's thinking: What develops? (pp. 325–348). Hillsdale, NJ: Erlbaum.Google Scholar
  77. Smyth, M. M., Morris, P. E., Levy, P., & Ellis, A. W. (1987).Cognition in action. London: Erlbaum.Google Scholar
  78. Solso, R. L. (1988).Cognitive psychology (2nd ed.). Boston: Allyn & Bacon.Google Scholar
  79. Tikhomirov, O. K., & Poznyanskaya, E. (1966). An investigation of visual search as a means of analyzing heuristics.Soviet Psychology, 5, 2–15.Google Scholar
  80. Tikhomirov, O. K., & Vinogradov, Yu. E. (1970). Emotions in the heuristic function.Soviet Psychology, 8, 198–203.Google Scholar
  81. Vicente, K. J., & de Groot, A. D. (1990). The memory recall paradigm: Straightening out the historical record.American Psychologist, 45, 285–287.Google Scholar
  82. Wagner, D. A., & Scurrah, M. J. (1971). Some characteristics of human problem-solving in chess.Cognitive Psychology, 2, 454–478.Google Scholar
  83. Watkins, M. J., Schwartz, D. R., & Lane, D. M. (1984). Does part-set cueing test for memory organization? Evidence from reconstruction of chess positions.Canadian Journal of Psychology, 38, 498–503.Google Scholar
  84. Wilkins, D. (1983). Using chess knowledge to reduce search. In P. W. Frey (Ed.),Chess skill in man and machine (2nd ed., pp. 211–242). New York: Springer.Google Scholar

Copyright information

© Springer-Verlag 1992

Authors and Affiliations

  • Neil Charness
    • 1
  1. 1.Psychology DepartmentUniversity of WaterlooWaterloo, OntarioCanada

Personalised recommendations