Effects of iterated interactions in multiplayer spatial evolutionary games
Abstract
Mechanisms promoting the evolution of cooperation in two players and two strategies (22) evolutionary games have been investigated in great detail over the past decades. Understanding the effects of repeated interactions in multiplayer spatial games, however, is a formidable challenge. In this paper, we present a multiplayer evolutionary game model in which agents play iterative games in spatial populations. -player versions of the well-known Prisoner's Dilemma and the Snowdrift games are used as the basis of the investigation. These games were chosen as they have emerged as the most promising mathematical metaphors for studying cooperative phenomena. Here, we have adopted an experimental approach to study the emergent behavior, exploring different parameter configurations via numerical simulations. Key model parameters include the cost-to-benefit ratio, the size of groups, the number of repeated encounters, and the interaction topology. Our simulation results reveal that, while the introduction of iterated interactions does promote higher levels of cooperative behavior across a wide range of parameter settings, the cost-to-benefit ratio and group size are important factors in determining the appropriate length of beneficial repeated interactions. In particular, increasing the number of iterated interactions may have a detrimental effect when the cost-to-benefit ratio and group size are small.
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Real interactions are repeated rather than one-shot.
“Indeed, real interactions are repeated rather than the one-shot interaction assumed above [11, 10, 30, 33, 28].”
From Conditional investment strategy in evolutionary trust games with repeated group interactions (2022) · cites this paper as [10]
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- Authors
- Chiong, R., & Kirley, M.
- Affiliations
- The University of Melbourne (AU)
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2012-08
- Volume
- 16
- Issue
- 4
- Pages
- 537-555
- ISSN
- 1089-778X (ISSN-L)
- 1941-0026
- OpenAlex
- W2105834378
- Cited by
- 78
- References
- 70
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 2 · 2023: 8 · 2022: 3 · 2021: 3 · 2020: 3 · 2019: 5 · 2018: 6 · 2017: 6 · 2016: 4 · 2015: 6 · 2014: 4 · 2013: 11 · 2012: 5
- FWCI
- 27.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Evolutionary Computation (publishedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Evolutionary Game Theory and Cooperation
- Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
- Keywords
- evolution of cooperation, prisoner's dilemma, snowdrift game, benefit-cost ratio, group size, interaction topology
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