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By Rense Corten

Computational techniques to learning the Co-evolution of Networks and behavior in Social Dilemmas indicates scholars, researchers, and execs tips on how to use computation equipment, instead of mathematical research, to reply to learn questions for a better, extra effective approach to trying out their types. Illustrations of normal technique are supplied and discover how desktop simulation is used to bridge the distance among formal theoretical versions and empirical applications.

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1, many different situations are possible stable states of the co-evolution process. We may end up with all actors playing the efficient action l, all actors playing the inefficient action r, or with two separated groups of varying sizes, each group playing a different action, that is, some degree of polarization. Thus, we here see an example of the problem of equilibrium selection in coordination games sketched in Chapter 1. Given that we started out assuming that polarization in this model is related to the likelihood of social conflict, the analytical results are in this sense somewhat dissatisfying.

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