Title :
Survival Game of Altruistic and Selfish Agents
Author :
Xiang, Qi ; Yong, Zhao
Author_Institution :
Inst. of Syst. Eng., Huazhong Univ. of Sci. & Tech., Wuhan
Abstract :
The game model of prisonerpsilas dilemma is applied to describe the survival game of altruistic behaviors and selfish behaviors. The game model is extended to an evolutionary game. The learning strategies of altruistic and selfish agents, and their survival, update and movement rules are described in detail. Simulation results show that altruists can outperform selfish agents under certain conditions. The conclusions are useful to stability study of social structure and to social mechanism design.
Keywords :
evolutionary computation; game theory; learning (artificial intelligence); multi-agent systems; altruistic agents; game model; prisoners dilemma; selfish agents; social mechanism design; social structure; survival game; Animals; Biological system modeling; Computational intelligence; Computer industry; Conferences; Evolution (biology); Game theory; Humans; Mathematical model; Toy industry;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.380
