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author:

Fu, Ming-Jian (Fu, Ming-Jian.) [1] (Scholars:傅明建) | Yang, Han-Xin (Yang, Han-Xin.) [2] (Scholars:杨涵新)

Indexed by:

Scopus SCIE

Abstract:

In this paper, we propose a stochastic win-stay-lose-learn in which an individual is more likely to imitate one of its nearest neighbor's strategy if its aspiration is not achieved. The results on the spatial public good game show that the cooperation can be greatly enhanced when the aspiration is moderate. Besides, we have studied the time evolution of the spatial distribution of strategies and the probability that cooperators and defectors choose to learn respectively.

Keyword:

cooperation Spatial public goods game win-stay-lose-learn

Community:

  • [ 1 ] [Fu, Ming-Jian]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Fu, Ming-Jian]Fuzhou Univ, Key Lab Intelligent Metro Univ Fujian, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Yang, Han-Xin]Fuzhou Univ, Dept Phys, Fuzhou 350116, Fujian, Peoples R China

Reprint 's Address:

  • 杨涵新

    [Yang, Han-Xin]Fuzhou Univ, Dept Phys, Fuzhou 350116, Fujian, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF MODERN PHYSICS C

ISSN: 0129-1831

Year: 2018

Issue: 4

Volume: 29

1 . 0 1 7

JCR@2018

1 . 5 0 0

JCR@2023

ESI Discipline: PHYSICS;

ESI HC Threshold:158

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 10

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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