Neural network models for abduction problems solving

Authors:
Viorel Ariton;Doinita Ariton
Affiliations:
"Danubius" University, Galati, Romania;"Dunarea de Jos" University, Galati, Romania
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

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.