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Neural Network Models for Abduction Problems Solving

Domenii publicaţii > Ştiinţe informatice + Tipuri publicaţii > Articol în revistã ştiinţificã

Autori: Viorel Ariton and Doinita Ariton

Editorial: Springer Berlin / Heidelberg, Lecture Notes in Computer Science, Volume 4692/2007, p.52-59, 2007.

Rezumat:

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Due to its’ connectionist nature, abductive reasoning may get neural network implementations that yet require structure adaptation to the abduction problems which Bylander and the team asserted. The paper proposes neural models for all known abduction problems, in a really unified manner, and with a sound and straightforward embedding in the existing neural network paradigms.

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Cuvinte cheie: stiinta calculatoarelor, inteligenta artificiala, sisteme bazate pe cunostinte // computer science, artificial intelligence, knowledge based systems

URL: http://www.springerlink.com/content/g0jj2l86q4248726/