Coates, Matthew (2024) Multilayer Networks and the Evolution of Risky Cooperation. In: UNSPECIFIED.
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Abstract
Philosophers have shown that social networks significantly influence the emergence of prosocial behaviors. However, despite real social communities often being characterized by agents acting in different social spaces at the same time, network structures that capture this, such as multilayer networks, have received little study. In this paper, using the stag hunt game, I show that multilayer networks have a significant effect on the extent to which cooperation emerges in cases where cooperation is risky. Given many real social communities are multilayer, I therefore argue that when studying the impact of networks on prosocial behaviors, multilayer networks should be investigated.
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| Item Type: | Conference or Workshop Item (UNSPECIFIED) | ||||||
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| Keywords: | Game theory, Cooperation, Social networks, Computational modeling, Philosophy of biology, Evolutionary models | ||||||
| Subjects: | Specific Sciences > Biology Specific Sciences > Biology > Evolutionary Theory General Issues > Computer Simulation Specific Sciences > Cultural Evolution General Issues > Game Theory General Issues > Models and Idealization |
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| Depositing User: | Matthew Coates | ||||||
| Date Deposited: | 20 Jul 2024 10:04 | ||||||
| Last Modified: | 20 Jul 2024 10:04 | ||||||
| Item ID: | 23707 | ||||||
| Subjects: | Specific Sciences > Biology Specific Sciences > Biology > Evolutionary Theory General Issues > Computer Simulation Specific Sciences > Cultural Evolution General Issues > Game Theory General Issues > Models and Idealization |
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| Date: | 2024 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/23707 |
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