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A generic formulation of neural nets as a model of parallel and self-programming computation

  • Formal Tools and Computational Models of Neurons and Neural Net Architectures
  • Conference paper
  • First Online:
Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

In the same way the more conventional fields of computer science need some theory, including the mathematical foundations of the calculus and the establishment of formal models, neural computation also needs its own. The basic requirements of this model are modularity, “small grain”, high connectivity, parametric local computation and some capacity of self-programming by means of the adjustment of these parameters.

We present here a proposal in this line that allows the integration in a single frame of all current models (analogic, logic and inferential) and makes clear the natural way to bridge the symbolic and connectionistic perspectives of AI extending the model of local computation to hierarchic graphs, building networks by joining graphs and studying the set of operators we need for modifying local computation parameters values.

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References

  1. J. Mira, et al. Aspectos básicos de la inteligencia artificial. (Sanz y Torres, 1995).

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Authors and Affiliations

  1. Dpto. de Inteligencia Artificial Facultad de Ciencias, UNED, C/Senda del Rey s/n, 28040, Madrid, Spain

    J. Mira, J. C. Herrero & A. E. Delgado

Authors
  1. J. Mira
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  2. J. C. Herrero
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  3. A. E. Delgado
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Mira, J., Herrero, J.C., Delgado, A.E. (1997). A generic formulation of neural nets as a model of parallel and self-programming computation. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032477

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  • DOI: https://doi.org/10.1007/BFb0032477

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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