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Inference of Automata by dialectic learning

Published online by Cambridge University Press:  09 March 2009

M. Richetin  and
M. Naranjo
M. Richetin
Affiliation:
Electronics Laboratory, University of Clermont II, BP 45, 63170 Aubiere (France)
M. Naranjo
Affiliation:
Electronics Laboratory, University of Clermont II, BP 45, 63170 Aubiere (France)
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Summary

An algorithm for the inference of the external behaviour model of an automaton is given. It uses a sequential learning procedure based on induction-contradiction-correction concepts. The induction is a generalization of relationships between automaton state properties, and the correction consists in a more and more accurate discrimination of the automaton state properties. These properties are defined from the input/output contradictory sequences which are discovered after the observed contradictions between successive predictions and observations.

Information

Type
Article
Information
Robotica , Volume 3 , Issue 3 , September 1985 , pp. 159 - 163
Copyright
Copyright © Cambridge University Press 1985

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