Premium
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.