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Dynamics of Interacting Neural Networks

W. Kinzel·R. Metzler·I. Kanter
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Abstract

The dynamics of interacting perceptrons is solved analytically. For a directed flow of information the system runs into a state which has a higher symmetry than the topology of the model. A symmetry breaking phase transition is found with increasing learning rate. In addition it is shown that a system of interacting perceptrons which is trained on the history of its minority decisions develops a good strategy for the problem of adaptive competition known as the Bar Problem or Minority Game.

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W. Kinzel, R. Metzler, I. Kanter. 2000-03-03. Dynamics of Interacting Neural Networks. https://arxiv.org/abs/cond-mat/9906058

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