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

By Dirk Helbing, Attila Szolnoki, Matjaz Perc, György Szabó. 2010

400 citations recorded by the source corpus.

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.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/c3250c3e7352da9c27454a64678741f67fea15a5

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In Management Science and Operations Research

  1. Matjaz Perc
  2. Zhen Wang
  3. Attila Szolnoki
  4. Yamir Moreno
  5. Jesús Gómez-Gardeñes
  6. Michael Luck
  7. Stefano Boccaletti
  8. David G. Rand

In Sociology and Political Science

  1. Matjaz Perc
  2. Attila Szolnoki
  3. Zhen Wang
  4. Stefano Boccaletti
  5. Jesús Gómez-Gardeñes
  6. Jillian J. Jordan
  7. David G. Rand
  8. Luis Mario Floría

In Statistical and Nonlinear Physics

  1. Matjaz Perc
  2. Attila Szolnoki
  3. Zhen Wang
  4. Stefano Boccaletti
  5. Yamir Moreno
  6. Jesús Gómez-Gardeñes
  7. David G. Rand
  8. Luis Mario Floría

Citations in the corpus