Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game
AbstractThis paper models adaptive learning behavior in a simple coordination game that Van Huyck, Cook and Battalio (1994) have investigated in a controlled laboratory setting with human subjects. We consider how populations of artificially intelligent players behave when playing the same game. We use the genetic programming paradigm, as developed by Koza (1992, 1994), to model how a population of players might learn over time.
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Bibliographic InfoArticle provided by IFReDE - Université Montesquieu Bordeaux IV in its journal The Electronic Journal of Evolutionary Modeling and Economic Dynamics.
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Adaptation; Genetic Programming; Coordination Game; Equilibrium Selection; Survival of the Fittest;
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
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