Comments on the paper Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination, by Chen, Duffy and Yeh
Marco Valente
The Electronic Journal of Evolutionary Modeling and Economic Dynamics
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 .
Keywords: Adaptation; Genetic Programming; Coordination Game (search for similar items in EconPapers)
JEL-codes: C63 D83 (search for similar items in EconPapers)
Date: 2002-01-15
References: Add references at CitEc
Citations:
Downloads: (external link)
http://beagle.u-bordeaux4.fr/jemed/1021/1021.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jem:ejemed:1021
Access Statistics for this article
More articles in The Electronic Journal of Evolutionary Modeling and Economic Dynamics from IFReDE - Université Montesquieu Bordeaux IV
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).