Evolutionary dynamics of social dilemmas with asymmetry
Autor: | Lei Shi, Chen Chu, Yongjuan Ma, Yini Geng, Fei Chen, Chen Shen |
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Rok vydání: | 2018 |
Předmět: |
Statistics and Probability
Computer Science::Computer Science and Game Theory Computer science media_common.quotation_subject Social dilemma Condensed Matter Physics 01 natural sciences Asymmetry 010305 fluids & plasmas Order (exchange) 0103 physical sciences 010306 general physics Robustness (economics) Evolutionary dynamics Construct (philosophy) Mathematical economics Value (mathematics) media_common |
Zdroj: | Physica A: Statistical Mechanics and its Applications. 496:156-161 |
ISSN: | 0378-4371 |
DOI: | 10.1016/j.physa.2017.12.093 |
Popis: | Asymmetric phenomenon is ubiquitous in human and animal societies. Based on this fact, we construct an asymmetric way to investigate the evolution of cooperation. In detail, the structured populations are classified into two types: players of type A (strong player) possess higher fitness, while players of type B (weak player) possess fitness equaling their payoffs. Through numerical simulation, we find that our asymmetric setup can promote the evolution of cooperation, which is related to the leader role of the players of type A. It is worth mentioning that the larger the value of ω , namely, the degree of asymmetric becomes more large, the higher the level of cooperation. Besides, the higher degree of asymmetric will lead to a long relaxation time reaching stationary state and less striking promoting effect. Lastly, in order to test the robustness of mechanism, we explore the evolution of cooperation on different topologies. |
Databáze: | OpenAIRE |
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