Complexity theory;
evolutionary computation;
social engineering;
cooperative systems;
GAME;
STRATEGY;
D O I:
10.1109/ACCESS.2017.2776966
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
How and why cooperation is able to prevail in social dilemma situations is an intensely investigated subject with much relevance for the well-being of human societies. Many mechanisms that promote cooperation have been identified within the theoretical framework of evolutionary game theory. Here, we advance the subject by relaxing the simplified assumption that each player in the population has the same number of interaction neighbors. This assumption indeed contradicts actual conditions, and it is, thus, important to understand what consequences this has for the evolution of cooperation. We therefore take into consideration that replacement and interaction neighbors can differ, and moreover, that each player can randomly select the number of interaction neighbors. The results of Monte Carlo simulations reveal that the introduction of neighborhood diversity elevates the level of cooperation in various types of social dilemmas, including the prisoner's dilemma and the snowdrift game. We also show that the same mechanism of cooperation promotion remains valid in evolutionary multigames. Taken together, our results strongly support the assertion that diversity, in general, is a strong facilitator of cooperation even under the most testing conditions and they provide a rationale for engineering better social systems.
机构:
Victoria Univ, Sir Zelman Cowen Ctr, Melbourne, Vic, Australia
Univ Vienna, Fac Business Econ & Stat, Dept Business Decis & Analyt, Oskar Morgenstern Pl 1, A-1090 Vienna, AustriaVictoria Univ, Sir Zelman Cowen Ctr, Melbourne, Vic, Australia
Griessmair, Michele
Hippmann, Patrick
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机构:
Univ Vienna, Fac Business Econ & Stat, Dept Business Decis & Analyt, Oskar Morgenstern Pl 1, A-1090 Vienna, AustriaVictoria Univ, Sir Zelman Cowen Ctr, Melbourne, Vic, Australia
机构:
Donghua Univ, Sch Informat Sci & Technol, Dept Automat, Shanghai 201620, Peoples R China
Donghua Univ, Engn Res Ctr Digitized Text & Apparel Technol, Minist Educ, Shanghai 201620, Peoples R ChinaDonghua Univ, Sch Informat Sci & Technol, Dept Automat, Shanghai 201620, Peoples R China
Wang, Xiaofeng
Perc, Matjaz
论文数: 0引用数: 0
h-index: 0
机构:
Univ Maribor, Fac Nat Sci & Math, Koroka Cesta 160, Maribor 2000, Slovenia
China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
Alma Mater Europaea ECM, Slovenska Ulica 17, Maribor 2000, Slovenia
Complex Sci Hub Vienna, Josefstadterstr 39, A-1080 Vienna, AustriaDonghua Univ, Sch Informat Sci & Technol, Dept Automat, Shanghai 201620, Peoples R China