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Neural Net's theory — The specifications of a computational model of memory and information processing in decision-making

  • Neural Network Theories, Neural Models
  • Conference paper
  • First Online:
Artificial Neural Networks (IWANN 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 540))

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Abstract

A computational generative model for long term memory based on an intentional analysis of knowledge structures is discussed together with a representation of information processing as a probabilistic set of sequential and parallel transformations of decision functions which produces a random walk along a propositional state space.

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References

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Authors and Affiliations

  1. University of Madrid, Spain

    José Mira y Mira, Roberto Moreno-Diaz & J. Simões da Fonseca

  2. University of Las Palmas, Gran Canaria, Spain

    José Mira y Mira, Roberto Moreno-Diaz & J. Simões da Fonseca

  3. University of Lisbon, Portugal

    José Mira y Mira, Roberto Moreno-Diaz & J. Simões da Fonseca

Authors
  1. José Mira y Mira
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  2. Roberto Moreno-Diaz
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  3. J. Simões da Fonseca
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Editor information

Alberto Prieto

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© 1991 Springer-Verlag Berlin Heidelberg

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Mira y Mira, J., Moreno-Diaz, R., Simões da Fonseca, J. (1991). Neural Net's theory — The specifications of a computational model of memory and information processing in decision-making. In: Prieto, A. (eds) Artificial Neural Networks. IWANN 1991. Lecture Notes in Computer Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035872

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  • DOI: https://doi.org/10.1007/BFb0035872

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54537-8

  • Online ISBN: 978-3-540-38460-1

  • eBook Packages: Springer Book Archive

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