Twisted strategy may enhance the evolution of cooperation in spatial prisoner's dilemma

被引:5
作者
Takahara, Akihiro [1 ]
Sakiyama, Tomoko [2 ]
机构
[1] Soka Univ, Grad Sch Sci & Engn, Dept Informat Syst Sci, Tokyo 1928577, Japan
[2] Soka Univ, Fac Sci & Engn, Dept Informat Syst Sci, Tokyo 1928577, Japan
基金
日本学术振兴会;
关键词
SPD; Memory; Cooperative evolution; GAME;
D O I
10.1016/j.physa.2023.129212
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Many studies of a spatial game theory have been performed to maintain cooperators because defectors tend to survive in a classical spatial game theory; therefore, various models have been proposed. In this study, the abovementioned problem is tackled using the spatial prisoner's dilemma (SPD) by considering the memory. In the proposed model, all players have a defined memory length related to the strategy update. The strategy for individual players is updated differently from the SPD model only when there are neighboring players whose strategy is the same but whose scores are higher than their own score. Under such conditions, players update to a strategy that is different from the original SPD strategy by considering their own past strategy and by adopting an unlikely strategy. This study is based on the idea of changing own behavior when the situation is not good for players. Consequently, cooperators were easily maintained in the proposed model by forming characteristic spatial patterns. Moreover, the model was unlikely to be affected by a payoff matrix parameter. Author summary In the proposed model, all players have a defined memory length related to the strategy update. The strategy for individual players is updated differently from the SPD model under a certain situation. Players sometimes update their strategy with an unlikely strategy. Results show that the proposed model exhibits characteristic spatial patterns and cooperators can survive.(c) 2023 Elsevier B.V. All rights reserved.
引用
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页数:7
相关论文
共 28 条
[1]  
Axelrod R., 2006, The Evolution of Cooperation, V2nd ed
[2]   Empirical investigation of starling flocks: a benchmark study in collective animal behaviour [J].
Ballerini, Michele ;
Cabibbo, Nicola ;
Candelier, Raphael ;
Cavagna, Andrea ;
Cisbani, Evaristo ;
Giardina, Irene ;
Orlandi, Alberto ;
Parisi, Giorgio ;
Procaccini, Andrea ;
Viale, Massimiliano ;
Zdravkovic, Vladimir .
ANIMAL BEHAVIOUR, 2008, 76 :201-215
[3]   Discrete and Continuous Distributed Delays in Replicator Dynamics [J].
Ben-Khalifa, Nesrine ;
El-Azouzi, Rachid ;
Hayel, Yezekael .
DYNAMIC GAMES AND APPLICATIONS, 2018, 8 (04) :713-732
[4]   Mathematical foundations of moral preferences [J].
Capraro, Valerio ;
Perc, Matjaz .
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2021, 18 (175)
[5]   Grand Challenges in Social Physics: In Pursuit of Moral Behavior [J].
Capraro, Valerio ;
Perc, Matjaz .
FRONTIERS IN PHYSICS, 2018, 6
[6]   Co-evolution of strategies and update rules in the prisoner's dilemma game on complex networks [J].
Cardillo, Alessio ;
Gomez-Gardenes, Jesus ;
Vilone, Daniele ;
Sanchez, Angel .
NEW JOURNAL OF PHYSICS, 2010, 12
[7]   Evolution of cooperation in multigame with environmental space and delay [J].
Cheng, Haihui ;
Meng, Xinzhu .
BIOSYSTEMS, 2023, 223
[8]   Knowing the past improves cooperation in the future [J].
Danku, Zsuzsa ;
Perc, Matjaz ;
Szolnoki, Attila .
SCIENTIFIC REPORTS, 2019, 9 (1)
[9]   Historical payoff promotes cooperation in the prisoner's dilemma game [J].
Deng, Zhenghong ;
Ma, Chunmiao ;
Mao, Xudong ;
Wang, Shenglan ;
Niu, Zhenxi ;
Gao, Li .
CHAOS SOLITONS & FRACTALS, 2017, 104 :1-5
[10]   Models of cooperation based on the Prisoner's Dilemma and the Snowdrift game [J].
Doebeli, M ;
Hauert, C .
ECOLOGY LETTERS, 2005, 8 (07) :748-766