By Rense Corten

ISBN-10: 1118636872

ISBN-13: 9781118636879

ISBN-10: 1118762932

ISBN-13: 9781118762936

Computational methods to learning the Co-evolution of Networks and behavior in Social Dilemmas exhibits scholars, researchers, and pros easy methods to use computation equipment, instead of mathematical research, to respond to examine questions for a neater, extra efficient approach to checking out their types. Illustrations of basic method are supplied and discover how machine simulation is used to bridge the space among formal theoretical versions and empirical applications.

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Additional info for Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas

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Hence, collective action should not occur in most cases because every individual has reasons to free ride on the other group members. This prediction seems at odds with the real-world observation that group action does occur in many instances, from voting to mass demonstrations and collective violence. This led some scholars to argue that coordination rather than cooperation is the basic strategic interaction that underlies group action. According to Hardin (1995), the power resulting from mass action can diminish the costs of joining to a level that is sufficiently low to reduce the free-rider problem to a problem of coordination (see Heckathorn 1996; Macy 1991; Marwell and Oliver 1993).

In Demographic and Economic Change in Developed Countries, Vol. 11: Universities-National Bureau Conference Series. Princeton University Press, Princeton, NJ, pp. 231–234. Durkheim E ([1897] 2002) Suicide, 2nd edn. Routledge, London. ) (2007) Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton University Press, Princeton, NJ. Elias N (1969) The History of Manners, Vol. I: The Civilizing Process. Blackwell, Oxford. Ellickson RC (1991) Order Without Law. How Neighbors Settle Disputes.

There is a slightly higher probability of persisting polarization for the “alternating” version of the dynamics compared with the “actorbased,” which is the reference category. The probability of persisting polarization is highest for the “fast network” version, which is understandable since many network changes result in a network falling apart in groups with different behaviors before actors have an opportunity to adapt behavior. Substantively, this leads to the plausible interpretation that in societies in which relations are more volatile while people tend to stick more strongly to their behaviors or opinions, it is more likely that persistent disagreement arises that may induce conflicts.

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Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas by Rense Corten

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