期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：5
页码：1555-1570
出版社：Journal of Theoretical and Applied
摘要：Evolving the cooperative behavior in Iterated N-Players Prisoners’ Dilemma (INPPD) is studied over
several evolutionary models. These models presented solutions for evolving cooperative behavior among
INPPD players. Studying existing models revealed that when the number of the players’ increases, the
models lose their capabilities in maintaining stable levels of cooperation between the players. In this paper,
we present an evolutionary model for enhancing the cooperation levels in large population of INPPD
players. The model focuses on optimizing the communication topology of INPPD, as well as building a
knowledge base to support players’ future decisions based on the evolved knowledge gained from historical
actions taken by different players. The presented communication topology along with the knowledge base
present considerable support for the evolutionary Particle Swarm Optimization (PSO) algorithm to evolve
the players’ strategies. The results showed that the model could increase the cooperative rate among INPPD
player and allow players to achieve higher payoffs against benchmark strategies .
关键词：Prisoners� Dilemma; Game Theory; Communication Topology; Particle Swarm Optimization; Knowledge base
