Alemdar N., Sirakaya S. (2003). On-line computation of stackelberg equilibria with synchronous parallel genetic algorithms. Journal of Economic Dynamics and Control, 27(8):1503–1515

CrossRefGoogle ScholarAlkemade, F., La Poutré, J. (2003). Heterogeneous, boundedly rational agents in the cournot duopoly, 3–17 in R. Cowan and N. Jonard (eds.), *Heterogenous Agents, Interactions and Economic Performance*, vol. 521 of *Lecture Notes in Economics and Mathematical Systems*, Springer.

Alkemade, F., van Bragt, D. and La Poutré, J. (2000). Stabilization of Tag-mediated Interaction by Sexual Reproduction in an Evolutionary Agent System (extended abstract). *Proceedings of the First International Workshop on Computational Intelligence in Economics and Finance CIEF’2000*, Vol. 2, 945–949.

Alkemade F., van Bragt D., La Poutré J. (2005). Stabilization of tag-mediated interaction by sexual reproduction in an evolutionary agent system. Information Sciences, 170, 101–119

CrossRefGoogle ScholarAlkemade, F., La Poutré, J. and Amman, H. (2005). On Social Learning and Robust Evolutionary Algorithm Design in Economic Games, *Proceedings of the 2005 IEEE Congress on Evolutionary Computation (CEC 2005)*, IEEE Press, pp. 2445-2452.

Arifovic, J. (1994). Genetic algorithm learning and the cobweb model. *Journal of Economic Dynamics and Control*, **18**, 3–28.

Arifovic, J. (1998). Stability of equilibria under genetic algorithm adaptation. *Macroeconomic Dynamics*, **2**(1), 1–21.

Arifovic, J. (2001). Evolutionary dynamics of currency substitution. *Journal of Economic Dynamics and Control*, **25**(3–4), 395–417.

Arifovic, J. and Maschek, M. Revisiting individual evolutionary learning in the cobweb model - an illustration of the virtual spite effect. *Computational economics*, DOI 10.1007/s10614-006-9053-3.

Arthur, W. (1993). On designing economic agents that behave like human agents. *Journal of Evolutionary Economics*, **3**, 1–22.

Axelrod, R. (1987). The evolution of strategies in the iterated prisoner’s dilemma. In *Genetic Algorithms and Simulated Annealing*, pp. 32–41. London: Pitman.

Bäck, T., Fogel, D. and Michalewicz Z. (eds.) (1997). *Handbook of evolutionary computation*. Oxford University Press.

Bäck, T., Hammel, U. and Schwefel, H. (1997). Evolutionary computation: Comments on the history and current state. *IEEE Transactions on Evolutionary Computation*, **1**(1), 3–17.

Biethahn, J. and Nissen, V. (eds.) (1995). *Evolutionary Algorithms in Management applications*. Springer Verlag.

Bullard J. (1999). Using genetic algorithms to model the evolution of heterogeneous beliefs. Computational Economics, 13(1):41–60

CrossRefGoogle ScholarChattoe E. (1998). ‘Just how (un)realistic are evolutionary algorithms as representations of social processes?’. *Journal of Artificial Societies and Social Simulation*, **1**(3), http://www.soc.surrey.ac.uk/JASSS/1/3/2.html.

Chen, S. and Yeh C. (1997). Towards a computable approach to the efficient market hypothesis: An application of genetic programming. *Journal of Economic Dynamics and Control*, **21**(6), 1043–1064.

Chen, S. and Yeh, C. (2001). Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market. *Journal of Economic Dynamics and Control*, **25**(3–4), 363–393.

Cournot A. (1897). *Researches into the Mathematical Principles of the Theory of Wealth*. Macmillan, New York (edited by N. Bacon, 1838).

Dawid, H. (1996). *Adaptive learning by genetic algorithms*. Number 441 in Lecture Notes in Economics and Mathematical Systems. Springer Verlag, Berlin.

Dawid, H. (1996). Learning of cycles and sunspot equilibria by genetic algporithms. *Journal of Evolutionary Economics*, **6**, 361–373.

Duffy, J. and McNelis P. (2001). Approximating and simulating the stochastic growth model: Parameterized expectations, neural networks, and the genetic algorithm. *Journal of Economic Dynamics and Control*, 2001.

Edmonds, B. (2001). Towards a descriptive model of agent strategy search. *Computational Economics*, **18**, 111–133.

Fudenberg, D. and Levine D. (1998). Learning in games. *European economic review*, **42**, 631–639.

Grefenstette, J. (1986). Optimization of control parameters for genetic algorithms. *IEEE Trans. on Systems, Man, and Cybernetics*, **16**(1), 122–128.

Holland J. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press, Michigan.

Google ScholarJong, K.D. (1975). An analysis of the behavior of a class of genetic adaptive systems. PhD Thesis, University of Michigan.

Klos, T. (1999). Decentralized interaction and co-adaptation in the repeated prisoner’s dilemma. *Computational and Mathematical Organization Theory*, **5**(2), 147–165.

Lawrenz, C. and Westerhoff, F. (2003) Modeling exchange rate behavior with a genetic algorithm. *Computational Economics*, **21**(3), 209–229.

Mailath, G. (1992). Introduction: Symposium on evolutionary game theory. *Journal of economic theory*, **57**, 259–277.

Marimon, R., McGrattan, E. and Sargent, T. (1990). Money as a medium of exchange in an economy with artificially intelligent agents. *Journal of Economic Dynamics and Control*, **14**, 329–373.

Midgley, D., Marks, R. and Cooper, L. (1997). Breeding competitive strategies. *Management Science*, **43**(3), 257–275.

Mitchell, M. (1996). *An Introduction to Genetic Algorithms*. MIT Press, Cambridge MA.

Riechmann, T. (2001). Genetic algorithm learning and evolutionary games. *Journal of Economic Dynamics and Control*, **25**(6–7), 1019–1037.

Riechmann, T. (2001). *Learning in Economics*. Physica-Verlag, Heidelberg (Germany).

Ringhut, E. and Kooths, S. (2003). Modeling expectations with genefer – an artificial intelligence approach. *Computational Economics*, **21**(1), 173–194.

Tesfatsion, L. (2001). Introduction to the special issue on agent-based computational economics. *Journal of Economic Dynamics and Control*, **25**(3–4), 281–293.

Varian, H. (1992). *Microeconomic Analysis*. Norton W.W. New York.

Vega-Redondo, F. (1997). The evolution of walrasian behavior. *Econometrica*, **65**, 375–384.

Vriend, N. (2000). An illustration of the essential difference between individual learning and social learning and its consequences for computational analyses. *Journal of Economic Dynamics and Control*, **24**, 1–19.

Weibull J. (2002). Evolutionary Game Theory. MIT Press, Cambridge MA.

Google ScholarYildizoglu M. (2002). Competing R&D strategies in an evolutionary industry model. Computational Economics, 19(1):51–65

CrossRefGoogle Scholar