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Erschienen in:
2022 | OriginalPaper | Buchkapitel
Population Dynamics and Its Instability in a Hawk-Dove Game on the Network
verfasst von : Tomoko Sakiyama
Erschienen in: Complex Networks & Their Applications X
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Abstract
Evolutionary game theory reveals biological processes in populations and cooperative interactions with their neighbors. Game theory can be applied to the network evolution since social dilemma is observed in various scenarios. Recently, we investigated the link evolution using the hawk-dove game (HD) on the network system. In this model, players connected/disconnected with their neighbors based on their experiences and we found that the network structure varied depending on the time. Since a critical behavior was found in our model, we succeeded in producing a scale-free network from a random network. Here, we further investigate the population dynamics and its relation to a critical phenomenon using the above proposed model.