Neural Networks and Contagion

Berninghaus, Siegfried ; Haller, Hans ; Outkin, Alexander

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URN: urn:nbn:de:bsz:180-madoc-26261
Document Type: Working paper
Year of publication: 2005
The title of a journal, publication series: None
Publication language: English
Institution: School of Law and Economics > Sonstige - Fakultät für Rechtswissenschaft und Volkswirtschaftslehre
MADOC publication series: Sonderforschungsbereich 504 > Rationalitätskonzepte, Entscheidungsverhalten und ökonomische Modellierung (Laufzeit 1997 - 2008)
Subject: 300 Social sciences, sociology, anthropology
Subject headings (SWD): Neuronales Netz , Nichtkooperatives Spiel , Theorie , Interaktion , Soziales Netzwerk
Abstract: We analyze local as well as global interaction and contagion in population games, using the formalism of neural networks. In contrast to much of the literature, a state encodes not only the frequency of play, but also the spatial pattern of play. Stochastic best response dynamics with logistic noise gives rise to a log-linear or logit response model. The stationary distribution is of the Gibbs-Boltzmann type. The long-run equilibria are the maxima of a potential function.
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