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Agent’s Adaptivity — Some Aspects of Theoretical Foundations of a Neural Agent Training Process

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From Theory to Practice in Multi-Agent Systems (CEEMAS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2296))

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Abstract

In the paper some aspects of theoretical foundations of a neural agent adaptivity is discussed. A method of regularization of a gradient system which models a training process of a layer artificial neural network is considered. The possibilities of applying the result to agent systems are discussed as well.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Jagiellonian University, Poland

    Andrzej Bielecki

Authors
  1. Andrzej Bielecki
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Warsaw University, ul. Banacha 2, 02-097, Warsaw, Poland

    Barbara Dunin-Keplicz

  2. Department of Computer Science, University of Mining and Metallurgy, al. Mickiewicza 30, 30-059, Krakow, Poland

    Edward Nawarecki

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© 2002 Springer-Verlag Berlin Heidelberg

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Bielecki, A. (2002). Agent’s Adaptivity — Some Aspects of Theoretical Foundations of a Neural Agent Training Process. In: Dunin-Keplicz, B., Nawarecki, E. (eds) From Theory to Practice in Multi-Agent Systems. CEEMAS 2001. Lecture Notes in Computer Science(), vol 2296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45941-3_5

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  • DOI: https://doi.org/10.1007/3-540-45941-3_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43370-5

  • Online ISBN: 978-3-540-45941-5

  • eBook Packages: Springer Book Archive

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