Fictitious Play by Cases

Games and Economic Behavior

Volumn 11, Issue 1, 1995, Pages 64-89

  LiCalzi, Marco ^a  

^a UNIVERSITY OF PARMA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0041691729     PISSN: 08998256     EISSN: 10902473     Source Type: Journal    
DOI: 10.1006/game.1995.1041     Document Type: Article

References (23)

1. Aizpurua, J. M., Nieto, J., and Uriarte, J. R. (1990). “Choice Procedure Consistent with Similarity Relations’ Theory and Decision 29, 235-254.
2. Aizpurua, J. M., Ichiishi, T., Nieto, J., and Uriarte, J. R. (1993). “Similarity and Preference in the Space of Simple Lotteries' J. Risk Uncertainty 6, 289-297.
3. Arnold, V. I., and Il’Yashenko, Y. S. (1988). “Ordinary Differential Equations’ in Dynamical Systems I (D. V. Anosov and V. 1. Arnold, Eds.), pp. 1-48. Berlin: Springer-Verlag.
4. Arthur, W. B., Ermoliev, Y. M., and Kaniovski, Y. (1983). “On Generalized Urn Schemes of the Polya Kind,” Cybernetics 19, 61-71 (originally published in Kybernetika).
5. Arthur, W. B., Ermoliev, Y. M. and Kaniovski, Y. (1986). “Strong Laws for a Class of Path-Dependent Stochastic Processes with Applications' in Stochastic Optimization (V. Arkin, A. Shiraev, and R. Wets, Eds.), pp. 287-300. Berlin: Springer-Verlag.
6. Aumann, R. J. (1990). “Nash Equilibria Are Not Self-Enforcing’ in Economic Decision Making: Games, Econometrics and Optimization (J. J. Gabszewicz, J.-F. Richard, and L. A. Wolsey, Eds.), pp. 201-206. Amsterdam: North-Holland.
7. Benveniste, A., Mativier, M., and Priouret, P. (1990). Adaptive Algorithms and Stochastic Approximations. Berlin: Springer-Verlag.
8. Brown, G. W. (1951). “Iterative Solution of Games by Fictitious Play’ in Activity Analysis of Production and Allocation (T. C. Koopmans, Ed.), pp. 374-376. New York: Wiley.
9. Cotter, K. D. (1991). “Similarity of Games with Incomplete Information’ J. Math. Econ. 20, 501-520.
10. Eichberger, J. (1992). “Nash Equilibrium and Learning' in Recent Developments in Game Theory (J. Borland, J. Creedy, and J. Eichberger, Eds.), pp. 94-124. Hants, England: Edward Elgar.
11. Fudenberg, D., and Kreps, D. M. (1992). “Learning and Equilibrium in Games’ partial draft 0.64, MIT and Stanford University, January 1992.
12. Fudenberg, D., and Kreps, D. M. (1993). “Learning Mixed Equilibria’ Games Econ. Behav. 5, 320-367.
13. Gilboa, I., and Schmeidler, D. (1992). “Case-Based Decision Theory,” Discussion paper 994, The Center for Mathematical Studies in Economics and Management Science, Northwestern University, May 1992.
14. Gilboa, I., and Schmeidler, D. (1993). “Case-Based Optimization,” Discussion paper 1039, The Center for Mathematical Studies in Economics and Management Science, Northwestern University, April 1993.
15. Hale, J. and Koçak, H. (1991). Dynamics and Bifurcations. Berlin: Springer-Verlag.
16. Harsanyi, J. (1973). “Games with Randomly Disturbed Payoffs: A New Rationale for Mixed-Strategy Equilibrium Points,” Int. J. Game Theory 2, 1-23.
17. Krasovskii, N. N. (1963). Stability of Motion. Stanford, CA: Stanford Univ. Press.
18. Kreps, D. M. (1990). Game Theory and Economic Modelling. Oxford: Clarendon Press.
19. Li Calzi, M. (1992). “Playing Games by Similarities,” Ph.D. dissertation. Stanford University.
20. Miyasawa, K. (1961). “On the Convergence of the Learning Process in a 2 x 2 Non-zero-Sum Two-Person Game,” Research Memorandum 33. Princeton University.
21. Nevel’son, M.B., and Hasminskii, R.Z. (1973). Stochastic Approximation and Recursive Estimation. Providence, R. I.: Amer. Math. Soc.
22. Rubinstein, A. (1988). “Similarity and Decision-Making under Risk (Is There a Utility Theory Resolution to the Allais Paradox?),” J. Econ. Theory 46, 145-153.
23. Shapley, L. S. (1964). “Some Topics in Two-Person Games,” in Advances in Game Theory (M. Dresher, L. Shapley, and A. Tucker, Eds.), pp. 1-28. Princeton, NJ: Princeton Univ. Press.