Work

Neural networks and contagion

Year: 2006
Type: article
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.
Language: English
Open Access status: hybrid
OpenAlex ID: W2009932644
FWCI:
Cites: 52
Cited by: 6
Related to: 10