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Recognition games

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Abstract:

In this work we propose an evolution model based on the competition between individuals belonging to populations of neural networks, obeying the Hopfield dynamics. The selection rule adopted relies on generalization and natural classification abilities. The results obtained through computer simulation show that these populations self-organize and evolve towards equilibrium states in the region of transition between ordered and disordered phases.

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Authors and Affiliations

  1. Instituto de Física, Universidade Federal Fluminense, Av. Litorânea s/n, 24210-340 Niterói, RJ, Brazil, , , , , , BR

    S.G.F. Martins, T.J.P. Penna & P.M.C. de Oliveira

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  1. S.G.F. Martins
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  2. T.J.P. Penna
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  3. P.M.C. de Oliveira
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Received 28 October 1998 and Received in final form 2 December 1998

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Martins, S., Penna, T. & de Oliveira, P. Recognition games. Eur. Phys. J. B 9, 559–565 (1999). https://doi.org/10.1007/s100510050796

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  • DOI: https://doi.org/10.1007/s100510050796

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