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References
Anderson, S.P., de Palma, A., and Thisse, J. (1992): Discrete choice theory of product differenciation, MIT Press.
Binmore, K. (1988): Modeling rational players (2), Economics and Philosophy, 4, 9–55.
Conlisk, J. (1996): Why bounded rationality? Journal of Economic Literature, 34, 669–700.
Debreu, G. (1954): Representation of a preference ordering by a numerical function, in R.M. Thrall et al. (eds.), Decision processes, John Wiley & Sons, 159–165.
Friedman, M. (1953): The methodology of positive economics, in Essays in positive economics, University of Chicago Press, 3–43.
Gigerenzer, G. and Selten, R. (eds.) (2001): Bounded rationality, MIT Press.
Gittins, J.C. (1989): Bandit Processes and Dynamic Allocation Indices, John Wiley & Sons.
Holland, J.H. (1975): Adaptation in natural and artificial systems, Michigan Press.
Holland, J.H. (1987): Genetic algorithms and classifier systems: foundations and future directions, Proc. of second ICGA.
Laslier, J.F., Topol, R., and Walliser, B. (2001): A behavioral learning model in games, Games and Economic Behavior, 37, 340–366.
Laville, F. (1998): Modélisation de la rationalité limitée: de quels outils disposet-on?, Revue Economique, 49, 335–369.
Mattsson, L.-G. and Weibull, W. (2002): Probabilistic choice and procedurally bounded rationality, Games and Economic Behavior, 41, 61–78.
von Neumann, J. and Morgenstern, O. (1944): Theory of games and economic behavior, Princeton University Press.
Newell, A. and Simon, H.A. (1972): Human problem solving, Prentice Hall.
Roth, A.E. and Erev, I. (1995): Learning in extensive form games: experimental data and simple dynamic models in the intermediate term, Games and Economic Behavior, 8, 164–212.
Rubinstein, A. (1998): Modeling bounded rationality, MIT Press.
Savage, L.J. (1954): The foundations of statistics, John Wiley.
Simon, H.A. (1976): From subtantive to procedural rationality, in Latsis S.J. (ed.), Method and appraisal in economics, Cambridge University Press, 129–148.
Simon H.A. (1982): Models of bounded rationality, MIT Press.
Sutton, R.S. and Barto, A.G. (1998): Reinforcement learning, MIT Press.
Tversky, A. and Kahneman, D. (1986): Rational choice and the framing of decision, Journal of Business, 59, 251–278.
Walliser, B. (1989): Instrumental rationality and cognitive rationality, Theory and Decision, 27, 7–36.
Walliser, B. and Zwirn, D. (2002): Can Bayes rule be justified by cognitive rationality principles?, Theory and Decision, 53, 95–135.
Watkins, C. (1989): Learning with delayed reward, PhD thesis, Cambridge University Psychology Department.
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(2006). Individual decision. In: Evolutionary Microeconomics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28537-7_2
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