The effect of shared responsibility and competition in perceptual games: A test of a cognitive game-theoretic extension of signal-detection theory

Journal of Experimental Psychology: Human Perception and Performance

Volumn 26, Issue 1, 2000, Pages 325-341

  Gopher, Daniel ^a   Itkin Webman, Tali ^a   Erev, Ido ^a   Meyer, Joachim ^a,b   Armony, Lilach ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; COMPETITIVE BEHAVIOR; COOPERATION; DECISION MAKING; FEMALE; GAME; HUMAN; LEARNING; MALE; MOTIVATION; PERCEPTIVE DISCRIMINATION; PSYCHOLOGICAL MODEL; REINFORCEMENT; SOCIAL BEHAVIOR;

ADULT; COMPETITIVE BEHAVIOR; COOPERATIVE BEHAVIOR; DECISION MAKING; FEMALE; GAME THEORY; GAMES, EXPERIMENTAL; HUMANS; LEARNING; MALE; MODELS, PSYCHOLOGICAL; MOTIVATION; REINFORCEMENT (PSYCHOLOGY); SIGNAL DETECTION (PSYCHOLOGY); SOCIAL RESPONSIBILITY;

EID: 0034133295     PISSN: 00961523     EISSN: None     Source Type: Journal    
DOI: 10.1037/0096-1523.26.1.325     Document Type: Article

References (38)

1. Barkan, R., Zohar, D., & Erev, I. (1998). Accidents and decision making under uncertainty: A comparison of four models. Organizational Behavior and Human Decision Processes, 74, 118-144.
2. Bornstein, G., Erev, I., & Goren, H. (1994). Learning processes and reciprocity in intergroup conflicts. Journal of Conflict Resolution, 38, 690-707.
3. Busemeyer, J. R., & Myung, I. J. (1992). An adaptive approach to human decision making: Learning theory, decision theory, and human performance. Journal of Experimental Psychology: General, 121, 177-194.
4. Bush, R. R., & Mosteller, F. (1955). Stochastic models for learning. New York: Wiley.
5. Dorfman, D. D., & Biderman, M. (1971). A learning model for continuum of sensory states. Journal of Mathematical Psychology, 8, 264-284.
6. Dovidio, J. F. (1984). Helping behavior and altruism: an empirical and conceptual overview. In L. Berkowiz (Ed.), Advances in social psychology (Vol. 17, pp. 361-427). New York: Academic Press.
7. Dovidio, J. F., Piliavin, J. A., Gaertner, S. L., Schroeder, D. A., & Clark, R. D. III. (1991). The arousal: Cost-reward model and the process of intervention. A review of the evidence. In S. M. Clark (Ed.), Review of personality and social psychology: Prosocial behavior (pp. 86-118). Newbury Park, CA: Sage Publications.
8. Erev, I. (1998). Signal detection by human observers: A cutoff reinforcement learning model of categorization decisions under uncertainty. Psychological Review, 105, 280-298.
9. Erev, I., & Gopher, D. (1999). A cognitive game theoretic analysis of attention strategies, ability, and incentives. In D. Gopher & A. Koriat (Eds.), Attention and performance XVII: Cognitive regulation of performance: Interaction of theory and applications (pp. 343-372). Cambridge, MA: MIT Press.
10. Erev, I., Gopher, D., Itkin, R., & Greenshpan, Y. (1995). Toward a generalization of signal detection theory to n-person games: The example of two person safety problem. Journal of Mathematical Psychology, 39, 360-375.
11. Erev, I., & Rapoport, A. (1998). Coordination, "magic," and reinforcement learning in a market entry game. Games and Economic Behavior, 23, 146-175.
12. Erev, I., & Roth, A. (1998). Prediction how people play games: Reinforcement learning in games with unique mixed strategy equilibrium. American Economic Review, 88, 848-881.
13. Gilat, S., Meyer, J., Erev, I., & Gopher, D. (1997). Beyond Bayes theorem: The effect of base rate information in consensus games. Journal of Experimental Psychology: Applied, 3, 83-104.
14. Green, D. M., & Swets, J. A. (1988). Signal detection theory and psychophysics. Los Altos, CA: Peninsula Publishers. (Original work published 1966).
15. Harley, C. B. (1981). Learning the evolutionary stable strategy. Journal of Theoretical Biology, 89, 611-633.
16. Healy, A. F., & Kubovy, M. (1977). A comparison of recognition memory to numerical decisions: How prior probabilities affect cutoff location. Memory & Cognition, 5, 3-9.
17. Healy, A. F., & Kubovy, M. (1981). Probability matching and the formation of conservative decision rules in a numerical analog of signal detection. Journal of Experimental Psychology: Human Learning and Memory, 7, 344-354.
18. Herrnstein, R. J. (1970). On the law of effect. Journal of the Experimental Analysis of Behavior, 13, 243-266.
19. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decisions under certainty. Econometrica, 47, 263-291.
20. Kubovy, M., & Healy, A. F. (1977). The decision rule in probabilistic categorization: What it is and how is it learned. Journal of Experimental Psychology: General, 106, 427-446.
21. Kubovy, M., Rapoport, A., & Tversky, A. (1971). Deterministic vs. probabilistic strategies in detection. Perception & Psychophysics, 9, 427-429.
22. Latané, B., & Darley, J. M. (1968). Group inhibition of bystander intervention in emergencies. Journal of Personality and Social Psychology, 10, 215-221.
23. Lee, W. (1963). Choosing among confusably distributed stimuli with specified likelihood ratios. Perceptual & Motor Skills, 16, 445-467.
24. Luce, R. D. (1959). Individual choice behavior. New York: Wiley.
25. March, J. G. (1996). Learning to become risk averse. Psychological Review, 103, 309-319.
26. Meyer, J., Gilat, S., & Erev, I. (1998). The effect of the incentive to reach consensus on categorization decisions. Manuscript submitted for publication.
27. Pete, A., Pattipati, K. R., & Kleinman, P. L. (1993). Optimal team and individual decision rules in uncertain dichotomous situations. Public Choice, 75, 202-230.
28. Rapoport, A., Erev, I., Abraham, E., & Olsen, D. E. (1997). Randomization and adaptive learning in a simplified poker game. Organizational Behavior and Human Decision Processes, 69, 31-49.
29. Rapoport, A., Seale, D. A., Erev, I., & Sundali, J. A. (1998). Coordination success in market entry games: Tests of equilibrium and adaptive learning models. Management Science, 44, 119-141.
30. Roth, A., & Erev, I. (1995). Learning in extensive form games: Experimental data and simple dynamic models in the intermediate term. Games and Economic Behavior, 3, 3-24.
31. Roth, A. E., Erev, I., Slonim, R. L., & Barron, G. (1999). Learning and equilibrium as useful approximations: Accuracy of prediction on randomly selected constant sum games. Manuscript in preparation.
32. Sorkin, R. D., & Dai, H. (1994). Signal detection analysis of the ideal group. Organizational Behavior and Human Decision Processes, 60, 1-13.
33. Sperling, G., & Dosher, B. A. (1986). Strategy and optimization in human information processing. In K. Boff, L. Kaufman, & J. Thomas (Eds.), Handbook of perception and human performance. Vol. 1: Cognitive processes and performance (pp. 2-65). New York: Wiley.
34. Tang, F. (1996, March). Anticipatory learning in two-person games: An experimental study. Part II: Learning (Discussion paper B-363). Bonn, Germany: University of Bonn.
35. Thaler, R. (1987). The psychology of choice and the assumption of economics. In A. E. Roth (Ed.), Laboratory experiments in economics: Six points of view (pp. 99-130). Cambridge, England: Cambridge University Press.
36. Thomas, E. A. C. (1973). On a class of additive learning models: Error correction and probability matching. Journal of Mathematical Psychology, 10, 241-264.
37. Thorndike, E. L. (1898). Animal intelligence: An experimental study of the associative processes in animals. Psychological Monographs, 2, (Whole No. 8).
38. von Neumann, J., & Morgenstern, O. (1947). Theory of games and economic behavior. Princeton, NJ: Princeton University Press.