DocumentCode
238785
Title
Characterizing the impact of selection on the evolution of cooperation in complex networks
Author
Shasha Feng ; Shaolin Tan ; Jinhu Lu
Author_Institution
Acad. of Math. & Syst. Sci., Beijing, China
fYear
2014
fDate
6-11 July 2014
Firstpage
813
Lastpage
818
Abstract
Cooperative behaviors are widespread in biological and social populations. Yet the evolution of cooperation is still a puzzle in evolutionary theory. Recent researches have indicated that complex interactions among individuals may promote the evolution of cooperation under weak selection. However, the selection effect on cooperation has not been completely understood. This paper aims to characterize the impact of selection on the emergence of cooperation in evolutionary dynamics on complex networks. By theoretical analysis and numerical simulation, it is found that selection favors defection over cooperation for the birth-death process, while it may favor cooperation over defection for the death-birth process. Furthermore, we come to the condition on which cooperation is dominant over defection. In particular, there exists an optimal selection intensity which favors cooperation the best for the death-birth process. The obtained results indicate that appropriate selection can promote the evolution of cooperation in structured populations under some circumstances.
Keywords
behavioural sciences; complex networks; evolutionary computation; game theory; network theory (graphs); biological population; birth-death process; complex networks; cooperation evolution selection; death-birth process; evolutionary dynamics; evolutionary theory; numerical simulation; selection intensity; social population; Complex networks; Evolution (biology); Games; Lattices; Mathematical model; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6626-4
Type
conf
DOI
10.1109/CEC.2014.6900325
Filename
6900325
Link To Document