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Evolutionary dynamics of networked N-player trust games with exclusion strategy

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  • Liu, Zhuo
  • Wang, Juan
  • Li, Xiaopeng

Abstract

Trust plays an important role in our daily life and networked society. However, how to improve and maintain trust in a population is a challenging topic. To this end, we introduce the exclusion strategy into the networked N-player trust game to investigate the evolution of cooperation, where the level of trust in the population is ensured by paying an extra fee to exclude untrustworthy trustees. Through plenty of Monte Carlo simulations, we find that this strategy can effectively suppress the untrustworthy behavior to a certain extent, and even make the untrustworthy trustee disappear, thus making a positive contribution to improve the trust level of the whole population. However, in order to fully implement this strategy, we also need to balance the problem of exclusion cost and avoid excessive interference with the natural evolution of the system. As a further step, we try to search for reasonable exclusion costs and probabilities so that the stability and sustainability of the system can be preserved while protecting trust. In general, our study provides new perspectives and ideas for improving and maintaining trust in networked society, and also points out some future research directions and challenges.

Suggested Citation

  • Liu, Zhuo & Wang, Juan & Li, Xiaopeng, 2024. "Evolutionary dynamics of networked N-player trust games with exclusion strategy," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:chsofr:v:186:y:2024:i:c:s0960077924007665
    DOI: 10.1016/j.chaos.2024.115214
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    References listed on IDEAS

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