The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Coevolution of teaching activity promotes cooperation
Open accessAbstract
Evolutionary games are studied where the teaching activity of players can evolve in time. Initially all players following either the cooperative or defecting strategy are distributed on a square lattice. The rate of strategy adoption is determined by the payoff difference and a teaching activity characterizing the donor's capability to enforce its strategy on the opponent. Each successful strategy adoption process is accompanied by an increase in the donor's teaching activity. By applying an optimum value of the increment, this simple mechanism spontaneously creates relevant inhomogeneities in the teaching activities that support the maintenance of cooperation for both the prisoner's dilemma and the snowdrift game.
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Cites
Evolutionary Games and Population Dynamics
Hofbauer, J., & Sigmund, K. (1998) · doi:10.1017/cbo9781139173179 · Cited by 5,502
Evolutionary Dynamics: Exploring the Equations of Life
NOWAK, M. A. (2006) · doi:10.2307/j.ctvjghw98 · Cited by 2,438
Cited by
Universal scaling for the dilemma strength in evolutionary games
Wang, Z., Kokubo, S., Jusup, M., & Tanimoto, J. (2015) · Physics of Life Reviews · doi:10.1016/j.plrev.2015.04.033 · Cited by 586
Ohdaira, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-12742-4 · Cited by 16
Metadata
- Authors
- Szolnoki, A., & Perc, M.
- Venue
- New Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2008-04-21
- Volume
- 10
- Issue
- 4
- Pages
- 043036
- ISSN
- 1367-2630 (ISSN-L)
- OpenAlex
- W2142455410
- Cited by
- 337
- References
- 2
- FWCI
- 82.47
- Type
- journal article
- Language
- en
- Open access
- gold
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.