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Comments on the paper Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination , by Chen, Duffy and Yeh

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  • Marco Valente

Abstract

The cited paper uses Genetic Programming (GP) to simulate a well known coordination game, replicating some of the results observed in experiments. This short note suggests that the results presented in the paper cited in the title can be obtained in a much simpler way, due to the action of random actions and selection only. I implemented the same environment as in the original model, replacing the GP originally used with randomly choosing agents. A simple selection mechanism removes least performing agents replacing them with new ones that choose their action randomly. The results obtained do not differ from the ones presented in the original paper. The model used for these notes is distributed as example model in Laboratory for Simulation Development .

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Article provided by IFReDE - Université Montesquieu Bordeaux IV in its journal The Electronic Journal of Evolutionary Modeling and Economic Dynamics.

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Handle: RePEc:jem:ejemed:1021

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Keywords: Adaptation; Genetic Programming; Coordination Game;

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Cited by:
  1. Sergey Slobodyan & Andreas Ortmann, 2004. "(The Evolution of) Post-Secondary Education: A Computational Model and Experiments," Computing in Economics and Finance 2004 318, Society for Computational Economics.

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