The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Competition and cooperation among different punishing strategies in the spatial public goods game
Open accessAbstract
Inspired by the fact that people have diverse propensities to punish wrongdoers, we study a spatial public goods game with defectors and different types of punishing cooperators. During the game, cooperators punish defectors with class-specific probabilities and subsequently share the associated costs of sanctioning. We show that in the presence of different punishing cooperators the highest level of public cooperation is always attainable through a selection mechanism. Interestingly, the selection does not necessarily favor the evolution of punishers who would be able to prevail on their own against the defectors, nor does it always hinder the evolution of punishers who would be unable to prevail on their own. Instead, the evolutionary success of punishing strategies depends sensitively on their invasion velocities, which in turn reveals fascinating examples of both competition and cooperation among them. Furthermore, we show that under favorable conditions, when punishment is not strictly necessary for the maintenance of public cooperation, the less aggressive, mild form of sanctioning is the sole victor of the selection process. Our work reveals that natural strategy selection cannot only promote, but sometimes also hinders competition among prosocial strategies.
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Cites
Five Rules for the Evolution of Cooperation
Nowak, M. A. (2006) · Science · doi:10.1126/science.1133755 · Cited by 5,894
Altruistic punishment in humans
Fehr, E., & Gächter, S. (2002) · Nature · doi:10.1038/415137a · Cited by 5,616
Indirect reciprocity can stabilize cooperation without the second-order free rider problem
Panchanathan, K., & Boyd, R. (2004) · Nature · doi:10.1038/nature02978 · Cited by 865
Coordinated Punishment of Defectors Sustains Cooperation and Can Proliferate When Rare
Boyd, R., Gintis, H., & Bowles, S. (2010) · Science · doi:10.1126/science.1183665 · Cited by 613
Social learning promotes institutions for governing the commons
Sigmund, K., De Silva, H., Traulsen, A., & Hauert, C. (2010) · Nature · doi:10.1038/nature09203 · Cited by 580
A bottom-up institutional approach to cooperative governance of risky commons
Vasconcelos, V. V., Santos, F. C., & Pacheco, J. M. (2013) · Nature Climate Change · doi:10.1038/nclimate1927 · Cited by 183
Effectiveness 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-citationHilbe, C., Traulsen, A., Röhl, T., & Milinski, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315273111 · Cited by 90
Cited by
Interdependent network reciprocity in evolutionary games
Wang, Z., Szolnoki, A., & Perc, M. (2013) · Scientific Reports · doi:10.1038/srep01183 · Cited by 485
Self-citationWu, J., Balliet, D., Peperkoorn, L. S., Romano, A., & Van Lange, P. A. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02956 · Cited by 156
Böckler, A., Tusche, A., Schmidt, P., & Singer, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-31813-8 · Cited by 107
The evolution of cooperation in spatial public goods game with conditional peer exclusion
Quan, J., Li, X., & Wang, X. (2019) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5119395 · Cited by 53
Quan, J., Liu, W., Chu, Y., & Wang, X. (2017) · Scientific Reports · doi:10.1038/s41598-017-16140-8 · Cited by 45
Metadata
- Authors
- Chen, X., Szolnoki, A., & Perc, M.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2015-07-27
- Volume
- 92
- Issue
- 1
- Pages
- 012819-012819
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W1758342214
- Cited by
- 285
- References
- 8
- FWCI
- 96.34
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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