Punish, but not too hard: how costly punishment spreads in the spatial public goods game

Type: Article

Publication Date: 2010-08-03

Citations: 255

DOI: https://doi.org/10.1088/1367-2630/12/8/083005

Abstract

We study the evolution of cooperation in spatial public goods games where, besides the classical strategies of cooperation (C) and defection (D), we consider punishing cooperators (PC) or punishing defectors (PD) as an additional strategy. Using a minimalist modeling approach, our goal is to separately clarify and identify the consequences of the two punishing strategies. Since punishment is costly, punishing strategies lose the evolutionary competition in case of well-mixed interactions. When spatial interactions are taken into account, however, the outcome can be strikingly different, and cooperation may spread. The underlying mechanism depends on the character of the punishment strategy. In the case of cooperating punishers, increasing the fine results in a rising cooperation level. In contrast, in the presence of the PD strategy, the phase diagram exhibits a reentrant transition as the fine is increased. Accordingly, the level of cooperation shows a non-monotonous dependence on the fine. Remarkably, punishing strategies can spread in both cases, but based on largely different mechanisms, which depend on the cooperativeness (or not) of punishers.

Locations

  • New Journal of Physics - View - PDF
  • arXiv (Cornell University) - View - PDF
  • Repository for Publications and Research Data (ETH Zurich) - View - PDF
  • University of Maribor digital library (University of Maribor) - View - PDF
  • DataCite API - View

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