Document Type

Article

Journal/Book Title/Conference

Economics Research Institute Study Paper

Volume

2

Publisher

Utah State University Department of Economics

Publication Date

2004

First Page

1

Last Page

45

Abstract

This paper presents a tight relationship between evolutionary game theory and distributed intelligence models. After reviewing some existing theories of replicator dynamics and distributed Monte Carlo learning, we make fonnulations and proofs of the equivalence between these two models. The relationship will be revealed not only from a theoretical viewpoint, but also by experimental simulations of the models by taking a simple symmetric zero-sum game as an example. As a consequence, it will be verified that seemingly chaotic macro dynamics generated by distributed micro-decisions can be explained with theoretical models.


Download

Share

COinS