Complex Adaptive Systems and Game Theory: An Unlikely Union

Authored by Ted Carmichael, Mirsad Hadzikadic, Charles Curtin

DOI: 10.1002/cplx.20316

Sponsors: No sponsors listed

Platforms: NetLogo

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

A Complex Adaptive System is a collection of autonomous, heterogeneous agents, whose behavior is defined with a limited number of rules. A Game Theory is a mathematical construct that assumes a small number of rational players who have a limited number of actions or strategies available to them. The CAS method has the potential to alleviate some of the shortcomings of GT. On the other hand, CAS researchers are always looking for a realistic way to define interactions among agents. GT offers an attractive option for defining the rules of such interactions in a way that is both potentially consistent with observed real-world behavior and subject to mathematical interpretation. This article reports on the results of an effort to build a CAS system that utilizes GT for determining the actions of individual agents. (C) 2010 Wiley Periodicals, Inc. Complexity 16: 34-42, 2010

Tags

game theory Complex adaptive systems Agent Based Modeling evolutionary stable strategy