Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game

This 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.

MoreLess

Year of publication:	2002-01-15
Authors:	Shu-Heng Chen, John Duffy, Chia-Hsuan Yeh
Institutions:	IFReDE - Université Montesquieu Bordeaux IV
Subject:	Adaptation \| Genetic Programming \| Coordination Game \| Equilibrium Selection \| Survival of the Fittest

freely available

Full text |

More access options

Check Google Scholar

I need help

More details

Extent:	application/pdf
Series:	The Electronic Journal of Evolutionary Modeling and Economic Dynamics
Type of publication:	Article
Classification:	C63 - Computational Techniques ; D83 - Search, Learning, Information and Knowledge
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10004971300