Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Computing, Health and Science
School
Computer and Security Science
RAS ID
9051
Abstract
The Iterated Prisoner's Dilemma (IPD) is widely used to study the evolution of cooperation between self-interested agents. Existing work asks how genes that code for cooperation arise and spread through a single-species population of IPD playing agents. In this paper, we focus on competition between different species of agents. Making this distinction allows us to separate and examine macroevolutionary phenomena. We illustrate with some species-level simulation experiments with agents that use well-known strategies, and with species of agents that use team strategies.
Comments
This article was originally published as: Hingston, P. F. (2009). Iterated Prisoner's Dilemma for Species. Proceedings of 2009 IEEE Symposium on Computational Intelligence and Games. (pp. 17-24). Milano, Italy. IEEE. Original article available here