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Aspiration-based coevolution of link weight promotes cooperation in the spatial prisoner's dilemma game
Author(s) -
Chen Shen,
Chu Chen,
Лей Ши,
Matjaž Perc,
Zhen Wang
Publication year - 2018
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.180199
Subject(s) - coevolution , prisoner's dilemma , dilemma , stochastic game , set (abstract data type) , computer science , microeconomics , economics , mathematics , evolutionary biology , biology , geometry , programming language
In this article, we propose an aspiration-based coevolution of link weight, and explore how this set-up affects the evolution of cooperation in the spatial prisoner's dilemma game. In particular, an individual will increase the weight of its link to its neighbours only if the payoff received via this interaction exceeds a pre-defined aspiration. Conversely, if the received payoff is below this aspiration, the link weight with the corresponding neighbour will decrease. Our results show that an appropriate aspiration level leads to a high-cooperation plateau, whereas too high or too low aspiration will impede the evolution of cooperation. We explain these findings with a comprehensive analysis of transition points and with a systematic analysis of typical configuration patterns. The presented results provide further theoretical insights with regards to the impact of different aspiration levels on cooperation in human societies.

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