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 |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: Y.S. surname: Li fullname: Li, Y.S. organization: College of Physics, Optoelectronics and Energy, Soochow University, Suzhou, 215006, China – sequence: 2 givenname: C. surname: Xu fullname: Xu, C. email: cxu@suda.edu.cn organization: College of Physics, Optoelectronics and Energy, Soochow University, Suzhou, 215006, China – sequence: 3 givenname: P.M. surname: Hui fullname: Hui, P.M. email: pmhui@phy.cuhk.edu.hk organization: Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong |
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Keywords | Control algorithm Prisoner’s dilemma Multiple stable states Hysteresis |
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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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