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author:

Ran, Meng (Ran, Meng.) [1] | Li, Meifang (Li, Meifang.) [2] (Scholars:李梅芳) | Zhao, Yongxiang (Zhao, Yongxiang.) [3] (Scholars:赵永翔)

Indexed by:

EI Scopus SCIE

Abstract:

Increasing information can make actions more effective, thereby improving cooperation levels. However, this assumption lacks experimental support in the case of long-range migration, and the potential mechanism for higher cooperation rates resulting from inter-group migration is not yet clear. Therefore, we mainly studied the impact of four different information levels on group cooperation behavior from an experimental perspective through public goods game experiments in the context of long-range migration. The results indicate that the amount of information can significantly affect individual mobility and cooperation evolution. Defection prevails among players in the absence of information, leading to the formation of a stable cluster of defectors. However, with increased information about profit calculation rules, players tend to settle in favorable cooperative groups. Increased information about the decisions of other players speeds up the formation of stable cooperative groups. Excessive information disclosure about payoffs leads to increased mobility and reduced cooperation among group members. These findings provide insights into our understanding of the evolution history of human cooperation and the formation of groups.

Keyword:

Behavioral experiment Black box Cooperation evolution Information Mobility Social dilemma game

Community:

  • [ 1 ] [Ran, Meng]Fujian Univ Technol, Sch Management, Fuzhou 350108, Peoples R China
  • [ 2 ] [Li, Meifang]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
  • [ 3 ] [Zhao, Yongxiang]Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China

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Source :

CHAOS SOLITONS & FRACTALS

ISSN: 0960-0779

Year: 2023

Volume: 173

5 . 3

JCR@2023

5 . 3 0 0

JCR@2023

ESI Discipline: PHYSICS;

ESI HC Threshold:30

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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