DocumentCode
238858
Title
Cooperation with potential leaders in evolutionary game study of networking agents
Author
Jianlei Zhang ; Chunyan Zhang ; Ming Cao ; Tianguang Chu
Author_Institution
Fac. of Math. & Natural Sci., Univ. of Groningen, Groningen, Netherlands
fYear
2014
fDate
6-11 July 2014
Firstpage
918
Lastpage
923
Abstract
Increasingly influential leadership is significant to the cooperation and success of human societies. However, whether and how leaders emerge among evolutionary game players still remain less understood. Here, we study the evolution of potential leaders in the framework of evolutionary game theory, adopting the prisoner´s dilemma and snowdrift game as metaphors of cooperation between unrelated individuals. We find that potential leaders can spontaneously emerge from homogeneous populations along with the evolution of cooperation, demonstrated by the result that a minority of agents spread their strategies more successfully than others and guide the population behavior, irrespective of the applied games. In addition, the phenomenon just described can be observed more notably in populations situated on scale free networks, and thus implies the relevance of heterogeneous networks for the possible emergence of leadership in the proposed system. Our results underscore the importance of the study of leadership in the population indulging in evolutionary games.
Keywords
evolutionary computation; game theory; social sciences; cooperation evolution; evolutionary game players; evolutionary game theory; human society; influential leadership; networking agents; prisoner´s dilemma game; snowdrift game; Color; Educational institutions; Games; Lead; Sociology; Stationary state; 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.2014.6900363
Filename
6900363
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