ArticleScientific reports2014
Cooperation with both synergistic and local interactions can be worse than each alone.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.Entropy (Basel, Switzerland) · 2026Article
- Public goods games on any population structure.Science advances · 2026Article
- Evolutionary dynamics of any multiplayer game on regular graphs.Nature communications · 2024Article
- Imitation dynamics on networks with incomplete information.Nature communications · 2023Article
- Evolutionary dynamics on sequential temporal networks.PLoS computational biology · 2023Article
- Optimization of institutional incentives for cooperation in structured populations.Journal of the Royal Society, Interface · 2023Article
- Dynamics on higher-order networks: a review.Journal of the Royal Society, Interface · 2022Review
- Cooperation in spatial public good games depends on the locality effects of game, adaptation, and punishment.Scientific reports · 2021Article
- Evolution of cooperation on temporal networks.Nature communications · 2020Article
- The effect of network topology on optimal exploration strategies and the evolution of cooperation in a mobile population.Proceedings. Mathematical, physical, and engineering sciences · 2019Article
- Spatial reciprocity in the evolution of cooperation.Proceedings. Biological sciences · 2019Article
- Evolutionary multiplayer games on graphs with edge diversity.PLoS computational biology · 2019Article
- Individualised aspiration dynamics: Calculation by proofs.PLoS computational biology · 2018Article
- Evolving synergetic interactions.Journal of the Royal Society, Interface · 2016Article
- Structure coefficients and strategy selection in multiplayer games.Journal of mathematical biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cooperation is ubiquitous ranging from multicellular organisms to human societies. Population structures indicating individuals' limited interaction ranges are crucial to understand this issue. But it remains unknown to what extend multiple interactions involving nonlinearity in payoff influence the cooperation in structured populations. Here we show a rule, which determines the emergence and stabilization of cooperation, under multiple discounted, linear, and synergistic interactions. The rule is validated by simulations in homogenous and heterogenous structured populations. We find that the more neighbours there are the harder for cooperation to evolve for multiple interactions with linearity and discounting. For synergistic scenario, however, distinct from its pairwise counterpart, moderate number of neighbours can be the worst, indicating that synergistic interactions work with strangers but not with neighbours. Our results suggest that the combination of different factors which promotes cooperation alone can be worse than that with every single factor.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.