Title :
Co-evolutionary learning in the N-choice IPD game with PSO algorithm
Author :
Xiaoyang Wang ; Yang Yi ; Huiyou Chang ; Yibin Lin
Author_Institution :
Bus. Sch., Sun-Yat Sen Univ., Guangzhou, China
Abstract :
A particle swarm optimization (PSO) approach towards the development of strategy co-evolution for multiple choices IPD game is presented. It is demonstrated that, birds can play IPD with multiple choices, and the co-evolutionary behaviors are influenced by social environment.
Keywords :
algorithm theory; evolutionary computation; game theory; particle swarm optimisation; N-choice IPD game; PSO algorithm; coevolutionary behaviors; coevolutionary learning; particle swarm optimization; social environment; Educational institutions; Electronic mail; Evolution (biology); Games; Sociology; Statistics; IPD; PSO; co-evolution; multiple choices; social;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2012 Fourth World Congress on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4673-4767-9
DOI :
10.1109/NaBIC.2012.6402245
