Allen, T.W. and Carroll, C. (2001) Individual learning about consumption. Macroeconomic Dynamics
5, 255–271.
Arifovic, J. (2000) Evolutionary algorithms in macroeconomic models. Macroeconomic Dynamics
4, 373–414.
Arifovic, Y. (1995) Genetic algorithms and inflationary economies. Journal of Monetary Economics
36
(1), 219–243.
Arifovic, Y., Bullard, J., and Kostyshyna, O. (2013) Social learning and monetary policy rules. Economic Journal
123
(567), 38–76.
Arthur, W.B. (1991) Designing economic agents that act like human agents: a behavioral approach to bounded rationality. American Economic Review
81
(2), 353–359.
Bikhchandani, S., Hirshleifer, D., and Welch, I. (1998) Learning from the behavior of others: Conformity, fads, and informational cascades. Journal of Economic Perspectives
12
(3), 151–170.
Binswanger, J. (2011) Dynamic decision making with feasibility goals: A procedural-rationality approach. Journal of Economic Behavior and Organization
78
(3), 219–228.
Brown, A.L., Chua, Z.E., and Camerer, C.F. (2009) Learning and visceral temptation in dynamic saving experiments. Quarterly Journal of Economics
124
(1), 197–223.
Bullard, J. and Duffy, J. (1998) A model of learning and emulation with artificial adaptive agents. Journal of Economic Dynamics and Control
22
(2), 179–207.
Carroll, C. (1997) Buffer stock saving and the life cycle permanent income hypothesis. Quarterly Journal of Economics
112
(1), 1–56.
Carroll, C. (2001) A theory of the consumption function, with and without liquidity constraints. Journal of Economic Perspectives
15
(3), 23–46.
Dawid, H. (1997) Learning of equilibria by a population with minimal information. Journal of Economic Behavior and Organization
32, 1–18.
Dawid, H. and Hornik, K. (1996) The dynamics of genetic algorithms in interactive environments. Journal of Network and Computer Applications
19, 5–19.
Deaton, A. (1991) Saving and liquidity constraints. Econometrica
59
(5), 1221–1248.
Ellison, G. and Fudenberg, D. (1993) Rules of thumb for social learning. Journal of Political Economy
101
(4), 612–643.
Ellison, G. and Fudenberg, D. (1995) Word-of-mouth communication and social learning. Quarterly Journal of Economics
110
(1), 93–125.
Eshelman, L. and Schaffer, J. (1993) Real-coded genetic algorithms and interval-schemata. In Foundations of Genetic Algorithms 2. San Mateo, CA: Morgan Kaufmann.
Franke, J. (1999) Memory enhanced evolutionary algorithms for changing optimization problems. In Proceedings of the 1999 Congress on Evolutionary Computation, vol. 3.
Friedman, M. (1953) Essays in Positive Economics. Chicago: University of Chicago Press.
Fudenberg, D. and Levine, D. (1998) Theory of Learning in Games. Cambridge, MA: MIT Press.
Gigerenzer, G. and Selten, R. (2001) Bounded Rationality: The Adaptive Toolbox. Cambridge, MA: MIT Press.
Goldberg, D. E. (1989) Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison–Wesley.
Herrera, F., Lozano, M., and Verdegay, J. (1998) Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial Intelligence Review
12, 265–319.
Hoffrage, U. and Reimer, T. (2004) Models of bounded rationality: The approach of fast and frugal heuristics. International Review of Management Studies
15
(4), 437–459.
Holland, J. (1975) Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. Oxford, UK: University of Michigan Press.
Holland, J., Goldberg, D., and Booker, L. (1989) Classifier systems and genetic algorithms. Artificial Intelligence
40, 235–289.
Holland, J. and Miller, J. (1991) Artificial adaptive agents in economic theory. AER Papers and Proceedings
91
(2), 365–370.
Howitt, P. and Özak, O. (2013) Adaptive consumption behavior. Journal of Economic Dynamics and Control
39
(C), 37–61.
Huguet, P., Dumas, F., Monteil, J.M., and Genestoux, N. (2001) Social comparison choices in the classroom: Further evidence for students' upward comparison tendency and its beneficial impact on performance. European Journal of Social Psychology
31, 557–578.
Hutchinson, J.M. and Gigerenzer, G. (2005) Simple heuristics and rules of thumb: Where psychologists and behavioural biologists might meet. Behavioural Processes
69, 97–124.
Janetos, A.C. (1980) Strategies of female mate choice: A theoretical analysis. Behavioral Ecological Sociobiology
7, 107–112.
Judd, K. (2006) Computationally intensive analyses in economics. In Tesfatsion, L. and Judd, K. (eds.), Handbook of Computational Economics, vol. 2, Chap. 17, pp. 881–884. Amsterdam: North-Holland.
Kahneman, D. and Tversky, A. (1996) On the reality of cognitive illusions. Psychological Review
103, 582–591.
Lettau, M. and Uhlig, H. (1999) Rules of thumb versus dynamic programming. American Economic Review
89
(1), 148–174.
Lux, T. and Schornstein, S. (2005) Genetic learning as an explanation of stylized facts of foreign exchange markets. Journal of Mathematical Economics
41
(1–2), 169–196.
Palmer, N. (2012) Learning to Consume: Individual versus Social Learning. Mimeo, George Mason University.
Penrose, E.T. (1952) Biological analogies in the theory of the firm. American Economic Review
42
(5), 804–809.
Rubinstein, A. (1998) Modeling Bounded Rationality. Cambridge, MA: MIT Press.
Salle, I., Zumpe, M., Yıldızoğlu, M., and Sénégas, M.-A. (2012) Modelling Social Learning in an Agent-Based New Keynesian Macroeconomic Model. Technical report 2012-20, Cahiers du GREThA, University of Bordeaux.
Salmon, M. (1995) Bounded rationality and learning: Procedural learning. In Kirman, A.P. and Salmon, M. (eds.), Learning and Rationality in Economics, Chap. 8, pp. 236–275. Oxford, UK: Basil Blackwell.
Sargent, T. (1993) Bounded Rationality in Macroeconomics. Oxford, UK: Oxford University Press.
Simon, H. (1955) A behavioural model of rational choice. Quarterly Journal of Economics
69, 99–118.
Simon, H. (1962) The architecture of complexity. Proceedings of the American Philosophical Society
106, 467–481.
Simon, H. (1976) From substantial to procedural rationality. In Latsis, S.J. (ed.), Method and Appraisal in Economics, pp. 129–148. Cambridge, UK: Cambridge University Press.
Simon, H. (1978) Rational Decision-Making in Business Organizations. Nobel Memorial Lecture.
Simon, H.A. (1996) The Sciences of the Artificial, 3rd ed.
Cambridge, MA: MIT Press.
Suls, J. and Wheeler, L., eds (2000) Handbook of Social Comparison: Theory and Research. Dordrecht, the Netherlands: Kluwer Academic Publishers.
Tversky, A. and Shaar, E. (1982) Choice under conflict: The dynamics of the deferred decision. Psychological Science
3, 358–361.
Vallée, T. and Yıldızoğlu, M. (2009) Convergence in the finite Cournot oligopoly with social and individual learning. Journal of Economic Behavior and Organization
72
(2), 670–690.
Van den Berg, J. (1955) The Phenomenological Approach to Psychiatry: An Introduction to Recent Phenomenological Psychopathology. Springfield, IL: Thomas.
Von Hippel, E., Franke, N., and Prügl, R. W. (2009) Pyramiding: Efficient search for rare subjects. Research Policy
38
(9), 1397–1406.
Vriend, N. (2000) An illustration of the essential difference between individual and social learning, and its consequences for computational analyses. Journal of Economic Dynamics and Control
24, 1–19.
Waltman, L., van Eck, N. J., Dekker, R., and Kaymak, U. (2011) Economic modeling using evolutionary algorithms: The effect of a binary encoding of strategies. Journal of Evolutionary Economics
21, 737–756.
Yang, S. (2008) Genetic algorithms with memory- and elitism-based immigrants in dynamic environments. Evolutionary Computation
16
(3), 385–416.
Yıldızoğlu, M. (2001) Connecting adaptive behaviour and expectations in models of innovation: The potential role of artificial neural networks. European Journal of Economic and Social Systems
15
(3), 51–65.
Yıldızoğlu, M., Sénégas, M.-A., Salle, I., and Zumpe, M. (2014) Learning the optimal buffer-stock consumption rule of Carroll. Macroeconomic Dynamics
18
(4), 727–752.
