Emergence of cooperation with reputation-updating timescale in spatial public goods game

被引:20
作者
Han, Weiwei [1 ,2 ]
Zhang, Zhipeng [1 ,2 ]
Sun, Junqing [1 ,2 ]
Xia, Chengyi [1 ,2 ]
机构
[1] Tianjin Univ Technol, Tianjin Key Lab Intelligence Comp & Novel Softwar, Tianjin 300384, Peoples R China
[2] Tianjin Univ Technol, Engn Res Ctr Learning Based Intelligent Syst, Minist Educ, Tianjin 300384, Peoples R China
基金
中国国家自然科学基金;
关键词
Public goods game (PGG); Adaptive reputation mechanism; Reputation-updating timescale; Indirect reciprocity; Second order evaluation; PRISONERS-DILEMMA; PROMOTES COOPERATION; INDIRECT RECIPROCITY; EVOLUTION; COEVOLUTION; INFORMATION; DYNAMICS; BEHAVIOR;
D O I
10.1016/j.physleta.2021.127173
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The evaluation and updating of individual reputation plays a significant role in the evolution of game cooperation under the framework of reputation-based indirect reciprocity. However, the reputation-updating timescale is not necessarily consistent with the strategy-selection timescale. In this letter, we explore the effect of reputation-updating timescale on the cooperation behavior of second-order reputation-based public goods game, and it is assumed that the reputation-updating timescale is slower than the strategy-selection timescale. We observe that the low-frequency of reputation updating will result in some delay, and further hamper the emergency of cooperation behavior. Thus, we propose a novel adaptive reputation-update rule by combining the number of cooperative strategy in the historical memory. Through extensive numerical simulations, we find that under the appropriate reputation-updating timescale (not too fast or too slow), the emergence of cooperation behavior will be improved greatly, even the cooperation level is better than that under the conventional second-order reputation-based PGG. Taking together, the current results will be conducive to understanding the emergency of cooperation in theory and design a reasonable reputation-updating rule in practice. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:9
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