Complex adaptive systems and game theory: An unlikely union

• Published in: Complexity (New York, N.Y.) Vol. 16; no. 1; pp. 34 - 42
• Main Authors: Hadzikadic, Mirsad, Carmichael, Ted, Curtin, Charles
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.09.2010
• Subjects: agent based modeling; complex adaptive systems; evolutionary stable strategy; game theory
• ISSN: 1076-2787; 1099-0526
• DOI: 10.1002/cplx.20316

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. © 2009 Wiley Periodicals, Inc. Complexity, 16,24–42, 2010