The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Self-organization of punishment in structured populations
Open accessAbstract
Cooperation is crucial for the remarkable evolutionary success of the human species. Not surprisingly, some individuals are willing to bear additional costs in order to punish defectors. Current models assume that, once set, the fine and cost of punishment do not change over time. Here we show that relaxing this assumption by allowing players to adapt their sanctioning efforts in dependence on the success of cooperation can explain both the spontaneous emergence of punishment and its ability to deter defectors and those unwilling to punish them with globally negligible investments. By means of phase diagrams and the analysis of emerging spatial patterns, we demonstrate that adaptive punishment promotes public cooperation through the invigoration of spatial reciprocity, the prevention of the emergence of cyclic dominance, or the provision of competitive advantages to those that sanction antisocial behavior. The results presented indicate that the process of self-organization significantly elevates the effectiveness of punishment, and they reveal new mechanisms by means of which this fascinating and widespread social behavior could have evolved.
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Cites
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Cited by
Evolutionary dynamics of group interactions on structured populations: a review
Perc, M., Gómez-Gardeñes, J., Szolnoki, A., Floría, L. M., & Moreno, Y. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2012.0997 · Cited by 1,340
Self-citationInterdependent network reciprocity in evolutionary games
Wang, Z., Szolnoki, A., & Perc, M. (2013) · Scientific Reports · doi:10.1038/srep01183 · Cited by 485
Self-citationProbabilistic sharing solves the problem of costly punishment
Chen, X., Szolnoki, A., & Perc, M. (2014) · New Journal of Physics · doi:10.1088/1367-2630/16/8/083016 · Cited by 285
Self-citationEffectiveness of conditional punishment for the evolution of public cooperation
Szolnoki, A., & Perc, M. (2013) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2013.02.008 · Cited by 173
Self-citationQuan, J., Liu, W., Chu, Y., & Wang, X. (2017) · Scientific Reports · doi:10.1038/s41598-017-16140-8 · Cited by 45
Metadata
- Authors
- Perc, M., & Szolnoki, A.
- Venue
- New Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2012-04-17
- Volume
- 14
- Issue
- 4
- Pages
- 043013
- ISSN
- 1367-2630 (ISSN-L)
- OpenAlex
- W2009111852
- Cited by
- 259
- References
- 46
- FWCI
- 53.93
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.