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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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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