An effective intervention algorithm for promoting cooperation in the prisoner’s dilemma game with multiple stable states

Multiple stable states, hysteresis, sensitivity to initial distributions, and a control algorithm for promoting cooperation are studied in an evolutionary prisoner’s dilemma with agents connected into a regular random network. A system could evolve into states of different cooperative frequencies xc...

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Published in:Physica A Vol. 501; pp. 400 - 407
Main Authors: Li, Y.S., Xu, C., Hui, P.M.
Format: Journal Article
Language:English
Published: Elsevier B.V 01-07-2018
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Abstract Multiple stable states, hysteresis, sensitivity to initial distributions, and a control algorithm for promoting cooperation are studied in an evolutionary prisoner’s dilemma with agents connected into a regular random network. A system could evolve into states of different cooperative frequencies xc in different runs, even starting with the same initial cooperative frequency xc(in) and payoff parameters. For a large reward R, some values of xc(in) either take the system to a group of low cooperative frequency (LCF) states or to a few high cooperative frequency (HCF) states. These states differ by their network structures, with cooperative players connected into ring-like structure in LCF states and compact clusters in HCF states. Hysteresis in xc is observed when R is swept down and up, when the final state of the previous R is used as the initial state of the next R. The analysis led us to propose a closed pack cluster algorithm that gives HCF states effectively. The algorithm intervenes the system at some point in time by selectively switching some non-cooperative D-agents into cooperative C-agents at the peripheral of an existing cluster of C-agents. It ensures protection of a small C-cluster from which more cooperation can be induced. Practically, a governing body may first allow a society to evolve freely and then derive suitable policy to promote selected pockets of good practices for attaining a higher level of common good. •Multiple stable states in evolutionary prisoner’s dilemma.•Low and high cooperative frequency states differ in structures.•Steady state cooperative frequencies show hysteresis as reward R is swept.•Closed pack cluster algorithm takes system to high cooperative states.
AbstractList Multiple stable states, hysteresis, sensitivity to initial distributions, and a control algorithm for promoting cooperation are studied in an evolutionary prisoner’s dilemma with agents connected into a regular random network. A system could evolve into states of different cooperative frequencies xc in different runs, even starting with the same initial cooperative frequency xc(in) and payoff parameters. For a large reward R, some values of xc(in) either take the system to a group of low cooperative frequency (LCF) states or to a few high cooperative frequency (HCF) states. These states differ by their network structures, with cooperative players connected into ring-like structure in LCF states and compact clusters in HCF states. Hysteresis in xc is observed when R is swept down and up, when the final state of the previous R is used as the initial state of the next R. The analysis led us to propose a closed pack cluster algorithm that gives HCF states effectively. The algorithm intervenes the system at some point in time by selectively switching some non-cooperative D-agents into cooperative C-agents at the peripheral of an existing cluster of C-agents. It ensures protection of a small C-cluster from which more cooperation can be induced. Practically, a governing body may first allow a society to evolve freely and then derive suitable policy to promote selected pockets of good practices for attaining a higher level of common good. •Multiple stable states in evolutionary prisoner’s dilemma.•Low and high cooperative frequency states differ in structures.•Steady state cooperative frequencies show hysteresis as reward R is swept.•Closed pack cluster algorithm takes system to high cooperative states.
Author Li, Y.S.
Xu, C.
Hui, P.M.
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  surname: Hui
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  email: pmhui@phy.cuhk.edu.hk
  organization: Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong
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CitedBy_id crossref_primary_10_1016_j_chaos_2020_109819
crossref_primary_10_1016_j_physleta_2019_126165
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Keywords Control algorithm
Prisoner’s dilemma
Multiple stable states
Hysteresis
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Snippet Multiple stable states, hysteresis, sensitivity to initial distributions, and a control algorithm for promoting cooperation are studied in an evolutionary...
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SubjectTerms Control algorithm
Hysteresis
Multiple stable states
Prisoner’s dilemma
Title An effective intervention algorithm for promoting cooperation in the prisoner’s dilemma game with multiple stable states
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