Title :
Iterated Prisoner´s Dilemma for species
Author :
Hingston, Philip
Author_Institution :
Comput. Sci. with the Sch. of Comput. & Security Sci., Edith Cowan Univ., WA, Australia
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.
Keywords :
game theory; IPD playing agents; iterated prisoner dilemma; macroevolutionary phenomena; self-interested agents; single-species population; species-level simulation experiment; team strategies; Biological system modeling; Evolution (biology); Floods; Game theory; Gold; History; Humans; Organisms; Psychology; Sequences;
Conference_Titel :
Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on
Conference_Location :
Milano
Print_ISBN :
978-1-4244-4814-2
Electronic_ISBN :
978-1-4244-4815-9
DOI :
10.1109/CIG.2009.5286498
