Self-organization in populations of competing agents

Abstract

A population of heterogenous agents compeeting through a minority rule is investigated. Agents which frequently loose are selected for evolution by changing their strategies. The stationary composition of the population resulting for this self-organization process is computed analytically. Results are compared with numerical simulations of two different minority games and other analytical treatments available in the literature.

RevTex, 4 pages, 1 ps fig

References in corpus (3)

• Self-organized Networks of Competing Boolean Agents
• Theory of the evolutionary minority game
• Self-organization, resources and strategies in a minority game

Cited by in corpus (3)

• Artificial intelligence meets minority game: toward optimal resource allocation
• Boolean Game on Scale-free Networks
• Controlling herding in minority game systems