English

Mercenary punishment in structured populations

Physics and Society 2021-11-29 v2 Computer Science and Game Theory

Abstract

Punishing those who refuse to participate in common efforts is a known and intensively studied way to maintain cooperation among self-interested agents. But this act is costly, hence punishers who are generally also engaged in the original joint venture, become vulnerable, which jeopardizes the effectiveness of this incentive. As an alternative, we may hire special players, whose only duty is to watch the population and punish defectors. Such a policelike or mercenary punishment can be maintained by a tax-based fund. If this tax is negligible, a cyclic dominance may emerge among different strategies. When this tax is relevant then this solution disappears. In the latter case, the fine level becomes a significant factor that determines whether punisher players coexist with cooperators or alternatively with defectors. The maximal average outcome can be reached at an intermediate cost value of punishment. Our observations highlight that we should take special care when such kind of punishment and accompanying tax are introduced to reach a collective goal.

Cite

@article{arxiv.2111.04480,
  title  = {Mercenary punishment in structured populations},
  author = {Hsuan-Wei Lee and Colin Cleveland and Attila Szolnoki},
  journal= {arXiv preprint arXiv:2111.04480},
  year   = {2021}
}

Comments

11 pages, 7 figures, published in Applied Mathematics and Computation, Volume 417, 15 March 2022, 126797

R2 v1 2026-06-24T07:30:31.000Z