Computational rationality: Linking mechanism and behavior through bounded utility maximization

Topics in Cognitive Science

Volumn 6, Issue 2, 2014, Pages 279-311

  Lewis, Richard L ^a   Howes, Andrew ^b   Singh, Satinder ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Bounded optimality; Bounded rationality; Cognitive architecture; Cognitive modeling; Rational analysis; Rationality; Utility maximization

Indexed keywords

ALGORITHM; BEHAVIOR; COGNITION; DECISION MAKING; DEFENSE MECHANISM; ENVIRONMENT; HUMAN; PHYSIOLOGY; THEORETICAL MODEL;

ALGORITHMS; BEHAVIOR; COGNITION; DECISION MAKING; ENVIRONMENT; HUMANS; MODELS, THEORETICAL; RATIONALIZATION;

EID: 84899629222     PISSN: 17568757     EISSN: 17568765     Source Type: Journal    
DOI: 10.1111/tops.12086     Document Type: Article

References (54)

1. Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Lawrence Erlbaum.
2. Anderson, J. R. (2007). How can the human mind occur in the physical universe? New York: Oxford University Press
3. Anderson, J. R., & Schooler, L. J. (1991). Reflections of the environment in memory. Psychological Science, 2, 396-408.
4. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111(4), 1036-1060.
5. Ballard, D. H., & Hayhoe, M. M. (2009). Modelling the role of task in the control of gaze. Visual Cognition, 17(6-7), 1185-1204.
6. Baron, S., & Kleinman, D. L. (1969). The human as an optimal controller and information processor. IEEE Transactoins on Man-Machine Systems, 10(1), 9-17.
7. Bellman, R. E. (1957). Dynamic programming. Princeton, NJ: Princeton University Press.
8. Bratman, J., Shvartsman, M., Lewis, R. L., & Singh, S. (2010). A new approach to exploring language emergence as boundedly optimal control in the face of environmental and cognitive constraints. In D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 7-12). Philadelphia, PA: Drexel University.
9. Brodersen, K. H., Penny, W. D., Harrison, L. M., Daunizeau, J., Ruff, C. C., Duzel, E., Friston, K. J. and Stephan, K. E. (2008). Integrated bayesian models of learning and decision making for saccadic eye movements. Neural Networks, 21(9), 1247-1260.
10. Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.
11. Chomsky, N. (2005). Three factors in language design. Linguistic Inquiry, 36(1), 1-22.
12. Cosmides, L., Barrett, H. C., & Tooby, J. (2010). Adaptive specializations, social exchange, and the evolution of human intelligence. Proceedings of the National Academy of Sciences, 107(Suppl. 2), 9007-9014.
13. Engbert, R., Nuthmann, A., Richter, E., & Kliegl, R. (2005). Swift: A dynamical model of saccade generation during reading. Psychological Review, 112(4), 777-813.
14. Faisal, A. A., Selen, L. P. J., & Wolpert, D. M. (2008). Noise in the nervous system. Nature Reviews Neuroscience, 9(4), 292-303.
15. Geisler, W. S. (2011). Contributions of ideal observer theory to vision research. Vision Research, 51(7), 771-781.
16. Gigerenzer, G., & Selten, R. (2001). Rethinking rationality. In G. Gigerenzer & R. Selten (Eds.), Bounded rationality: The adaptive toolbox (pp. 1-12). Cambridge, MA: MIT Press.
17. Griffiths, T. L., Chater, N., Norris, D., & Pouget, A. (2012). How the bayesians got their beliefs (and what those beliefs actually are): Comment on bowers and davis (2012). Psychological Bulletin, 138(3), 415-422.
18. Howes, A., Lewis, R. L., & Vera, A. (2009). Rational adaptation under task and processing constraints: implications for testing theories of cognition and action. Psychological Review, 116(4), 717-751.
19. Johnson-Laird, P., & Wason, P. (1970). A theoretical analysis of insight into a reasoning task. Cognitive Psychology, 1(2), 134-148.
20. Laird, J. E. (2012). The soar cognitive architecture. Cambridge, MA: MIT Press.
21. Lewis, R. L., Shvartsman, M., & Singh, S. (2013). The adaptive nature of eye-movements in linguistic tasks: How payoff and architecture shape speed-accuracy tradeoffs. Topics in Cognitive Science, 5(3), 1-30.
22. Marr, D. C. (1982). Vision. New York: Freeman.
23. McNamara, J. M., & Houston, A. I. (2009). Integrating function and mechanism. Trends in Ecology & Evolution, 24(12), 670-675.
24. Meyer, D., & Kieras, D. (1997). A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. Psychological Review, 104, 3-65.
25. Meyer, D., & Schvaneveldt, R. (1971). Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. Journal of Experimental Psychology, 90, 22-34.
26. Newell, A. (1982). The knowledge level. Artificial Intelligence, 18, 87-127. (Also in AI Magazine, Vol 2, Summer 1981, pp. 1.20).
27. Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.
28. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
29. Norris, D. (2006). The Bayesian reader: Explaining word recognition as an optimal Bayesian decision process. Psychological Review, 113(2), 327-357.
30. Norris, D. (2009). Putting it all together: A unified account of word recognition and reaction-time distributions. Psychological Review, 116(1), 207-219.
31. Oaksford, M., & Chater, N. (1994). A rational analysis of the selection task as optimal data selection. Psychological Review, 101(4), 608.
32. Oaksford, M., & Chater, N. (2007). Bayesian rationality. Oxford, UK: Oxford University Press.
33. Pashler, H. E. (1998). The psychology of attention. Cambridge, MA: MIT Press.
34. Reichle, E. D., Rayner, K., & Pollatsek, A. (2003). The E-Z Reader model of eye-movement control in reading: Comparisons to other models. Behavioral and Brain Sciences, 26(4), 445-+.
35. Reichle, E. D., Warren, T., & McConnell, K. (2009). Using E-Z reader to model the effects of higher level language processing on eye movements during reading. Psychonomic Bulletin Review, 16, 1-21.
36. Rothkopf, C. A., Ballard, D. H., Hayhoe, M. M., & Regan, O. (2007). Task and context determine where you look. Journal of Vision, 7, 1-20.
37. Russell, S., & Subramanian, D. (1995). Provably bounded-optimal agents. Journal of Artificial Intelligence Research, 2, 575-609.
38. Salverda, A. P., Brown, M., & Tanenhaus, M. K. (2011). A goal-based perspective on eye movements in visual-world studies. Acta Psychologica, 137(2), 172-180.
39. Schumacher, E., Lauber, E., Glass, J., Zurbriggen, E., Gmeindl, L., Kieras, D., et al. (1999). Concurrent response-selection processes in dual-task performance: Evidence for adaptive executive control of task scheduling. Journal of Experimental Psychology, 25(3), 791-814.
40. Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118.
41. Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129-138.
42. Simon, H. A. (1990). Invariants of human behavior. Annual Review of Psychology, 41, 1-19.
43. Singh, S., Lewis, R. L., Barto, A. G., & Sorg, J. (2010). Instrinsically motivated reinforcement learning: An evolutionary perspective. IEEE Transactions on Autonomous Mental Development, 2(2), 70-82.
44. Stengel, R. F. (1994). Optimal control and estimation. New York: Dover Publications.
45. Stephens, D. W., & Krebs, J. R. (1986). Foraging theory. Princeton, NJ: Princeton University Press.
46. Sutton, R., & Barto, A. (1998). Reinforcement learning: An introduction. Cambridge, MA: MIT Press.
47. Tanner, W. P., & Swets, J. A. (1954). A decision-making theory of visual detection. Psychological Review, 61(6), 401.
48. Tooby, J., & Cosmides, L. (2005). Conceptual foundations of evolutionary psychology. In Buss, D. M. (Ed.), The handbook of evolutionary psychology (pp. 5-67). Hoboken, NJ: Wiley.
49. Trommershaeuser, J., Maloney, L. T., & Landy, M. S. (2008). Decision making, movement planning and statistical decision theory. Trends in Cognitive Sciences, 12(8), 291-297.
50. VanRullen, R., & Thorpe, S. J. (2001). The time course of visual processing: From early perception to decision-making. Journal of Cogntive Neuroscience, 13, 454-461.
51. Von Neumann, J., & Morgenstern, O. (1947). Theory of games and economic behavior. Princeton, NJ: Princeton University Press.
52. Wagenmakers, E., Ratcliff, R., Gomez, P., & McKoon, G. (2008). A diffusion model account of criterion shifts in the lexical decision task. Journal of Memory and Language, 58(1), 140-159.
53. Wason, P. (1966). Reasoning. New Horizons in Psychology, 1, 135-151.
54. Wolpert, D. M. (2007). Probabilistic models in human sensorimotor control. Human Movement Science, 26(4), 511-524.