The evolution of cooperation in spatial public goods games under a risk-transfer mechanism

被引:6
作者
Ding, Rui [1 ]
Wang, Xianjia [1 ,2 ]
Zhao, Jinhua [1 ,3 ]
Gu, Cuiling [4 ]
Wang, Tao [1 ]
机构
[1] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Inst Syst Engn, Wuhan 430072, Peoples R China
[3] Cent China Normal Univ, Wollongong Joint Inst, Fac Artificial Intelligence Educ, Wuhan 430079, Peoples R China
[4] Henan Univ Technol, Sch Management, Zhengzhou 450001, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Coalition of interests; Risk; Cooperation; Public goods game; Evolutionary game; TIT-FOR-TAT; CROSS-OWNERSHIP; ALTRUISTIC PUNISHMENT; CORPORATE-CONTROL; DYNAMICS; RECIPROCITY; INTEGRATION; STRATEGY;
D O I
10.1016/j.chaos.2023.113236
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
An interest coalition of sharing benefits and risks, such as cross shareholding between companies, allows them to transfer risks in a competitive business world. In a public goods game, cooperators are at the risk of being exploited by defectors. This paper studies whether such risk-transfer mechanism can induce cooperative be-haviors in social dilemmas. We model a public goods game with coalition mechanism in a structured population. The players are categorized by whether they cooperate as well as whether they are willing to form coalitions. Those who are willing (unwilling) to form coalitions with others are called coalitional (traditional) individuals. By exploring the phase transitions of systems, the spatial dynamics of some phases and the evolution of char-acteristic spatial distributions of strategies, we study the effect of this mechanism on cooperation. The results show that the positive (negative) impact of such interest coalitions on the competitiveness of cooperators (de-fectors) can be improved as the closeness of interest relationship within coalitions increases. However, this does not mean that a closer coalition can absolutely increase the overall level of cooperation in a more complex four -strategy system. This is related to the transformation from CCs (coalitional cooperators) to TDs (traditional defectors) due to CCs' breaking of the encirclement formed by CDs (coalitional defectors) at a low synergy co-efficient, as well as the invasion of TCs (traditional cooperators) to CCs at the boundary separating CCs, TCs and TDs at a high synergy coefficient.
引用
收藏
页数:12
相关论文
共 64 条
[11]   The anticompetitive effect of passive investment [J].
Gilo, D .
MICHIGAN LAW REVIEW, 2000, 99 (01) :1-47
[12]   UNDERSTANDING THE JAPANESE KEIRETSU - OVERLAPS BETWEEN CORPORATE GOVERNANCE AND INDUSTRIAL-ORGANIZATION [J].
GILSON, RJ ;
ROE, MJ .
YALE LAW JOURNAL, 1993, 102 (04) :871-906
[13]   The rise and fall of cooperation through reputation and group polarization [J].
Gross, Jorg ;
De Dreu, Carsten K. W. .
NATURE COMMUNICATIONS, 2019, 10 (1)
[14]   GENETICAL EVOLUTION OF SOCIAL BEHAVIOUR 2 [J].
HAMILTON, WD .
JOURNAL OF THEORETICAL BIOLOGY, 1964, 7 (01) :17-&
[15]   Volunteering as Red Queen mechanism for cooperation in public goods games [J].
Hauert, C ;
De Monte, S ;
Hofbauer, J ;
Sigmund, K .
SCIENCE, 2002, 296 (5570) :1129-1132
[16]   Via freedom to coercion: The emergence of costly punishment [J].
Hauert, Christoph ;
Traulsen, Arne ;
Brandt, Hannelore ;
Nowak, Martin A. ;
Sigmund, Karl .
SCIENCE, 2007, 316 (5833) :1905-1907
[17]   Product Market Competition in a World of Cross-Ownership: Evidence from Institutional Blockholdings [J].
He, Jie ;
Huang, Jiekun .
REVIEW OF FINANCIAL STUDIES, 2017, 30 (08) :2674-2718
[18]   Punish, but not too hard: how costly punishment spreads in the spatial public goods game [J].
Helbing, Dirk ;
Szolnoki, Attila ;
Perc, Matjaz ;
Szabo, Gyoergy .
NEW JOURNAL OF PHYSICS, 2010, 12
[19]   Defector-accelerated cooperativeness and punishment in public goods games with mutations [J].
Helbing, Dirk ;
Szolnoki, Attila ;
Perc, Matjaz ;
Szabo, Gyoergy .
PHYSICAL REVIEW E, 2010, 81 (05)
[20]   Evolutionary Establishment of Moral and Double Moral Standards through Spatial Interactions [J].
Helbing, Dirk ;
Szolnoki, Attila ;
Perc, Matjaz ;
Szabo, Gyoergy .
PLOS COMPUTATIONAL BIOLOGY, 2010, 6 (04)