Can genetic algorithms explain experimental anomalies? An application to common property resources
AbstractIt is common to find in experimental data persistent oscillations in the aggregate outcomes and high levels of heterogeneity in individual behavior. Furthermore, it is not unusual to find significant deviations from aggregate Nash equilibrium predictions. In this paper, we employ an evolutionary model with boundedly rational agents to explain these findings. We use data from common property resource experiments (Casari and Plott, 2003). Instead of positing individual-specific utility functions, we model decision makers as selfish and identical. Agent interaction is simulated using an individual learning genetic algorithm, where agents have constraints in their working memory, a limited ability to maximize, and experiment with new strategies. We show that the model replicates most of the patterns that can be found in common property resource experiments.
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Bibliographic InfoPaper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number 542.02.
Date of creation: 10 2002
Date of revision:
Bounded rationality; Experiments; Common-pool resources; Genetic algorithms;
Find related papers by JEL classification:
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
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- Miller, John H. & Andreoni, James, 1991. "Can evolutionary dynamics explain free riding in experiments?," Economics Letters, Elsevier, vol. 36(1), pages 9-15, May.
- LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
- Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
- Marimon, R. & Mcgrattan, E. & Sargent, T.J., 1989.
"Money As A Medium Of Exchange In An Economy With Artificially Intelligent Agents,"
e-89-28, Hoover Institution, Stanford University.
- Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May.
- Elena Rocco & Massimo Warglien, 1996. "Computer Mediated Communication and the Emergence of "Electronic Opportunism"," CEEL Working Papers 9601, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
- Andreoni James & Miller John H., 1995. "Auctions with Artificial Adaptive Agents," Games and Economic Behavior, Elsevier, vol. 10(1), pages 39-64, July.
- Arifovic, Jasmina & Eaton, B. Curtis, 1998. "The evolution of type communication in a sender/receiver game of common interest with cheap talk," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1187-1207, August.
- Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-71, May.
- Bullard, James & Duffy, John, 1998.
"A model of learning and emulation with artificial adaptive agents,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 22(2), pages 179-207, February.
- James Bullard & John Duffy, 1994. "A model of learning and emulation with artificial adaptive agents," Working Papers 1994-014, Federal Reserve Bank of St. Louis.
- Jasmina Arifovic & John Ledyard, 2002. "Computer Testbeds and Mechanism Design," Computing in Economics and Finance 2002 262, Society for Computational Economics.
- Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-41, June.
- Dawid, Herbert, 1999. "On the convergence of genetic learning in a double auction market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1545-1567, September.
- Casari, Marco & Plott, Charles R., 2003. "Decentralized management of common property resources: experiments with a centuries-old institution," Journal of Economic Behavior & Organization, Elsevier, vol. 51(2), pages 217-247, June.
- Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
- Riechmann, Thomas, 1997.
"Learning and Behavoiral Stability - An Economic Interpretation of Genetic Algorithms,"
Diskussionspapiere der Wirtschaftswissenschaftlichen FakultÃ¤t der Leibniz UniversitÃ¤t Hannover
dp-209, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Thomas Riechmann, 1999. "Learning and behavioral stability An economic interpretation of genetic algorithms," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 225-242.
- Brandts, Jordi & Schram, Arthur, 2001. "Cooperation and noise in public goods experiments: applying the contribution function approach," Journal of Public Economics, Elsevier, vol. 79(2), pages 399-427, February.
- Kollman, Ken & Miller, John H & Page, Scott E, 1997. "Political Institutions and Sorting in a Tiebout Model," American Economic Review, American Economic Association, vol. 87(5), pages 977-92, December.
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