Purely neural, rule‐based diagnostic systems. I. Production rules | Zendy

Aiello Aldo | Zendy; Burattini Ernesto | Zendy; Tamburrini Guglielmo | Zendy

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Purely neural, rule‐based diagnostic systems. I. Production rules

Author(s) -

Aiello Aldo,

Burattini Ernesto,

Tamburrini Guglielmo

Publication year - 1995

Publication title -

international journal of intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.291

H-Index - 87

eISSN - 1098-111X

pISSN - 0884-8173

DOI - 10.1002/int.4550100804

Subject(s) - backward chaining , computer science , forward chaining , inference engine , expert system , artificial intelligence , synchronization (alternating current) , chaining , artificial neural network , production (economics) , rule based system , inference , exploit , rule of inference , machine learning , psychology , computer network , channel (broadcasting) , computer security , economics , psychotherapist , macroeconomics

This is the first of two articles presenting an approach to rule‐based expert systems for diagnostic tasks exploiting a purely neural architecture. Here, we outline the methodological options motivating this approach, and describe a forward and backward chaining mechanism on a system of production rules. This inference engine is furnished with an informative justification module, which exploits the fact that most individual neurons get a precise semantic assignment in terms of the literals appearing in production rules. the control and synchronization functions needed to schedule these processes are carried out by a neural network, too. © 1995 John Wiley & Sons, Inc.

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