This article describes neural mechanisms for carrying out forms of uncertain reasoning that are frequently applied in diagnostic problem-solving. These include various sorts of causal and probabilistic reasoning, as well as the updating of certainty measures. The control and synchronization function
Purely neural, rule-based diagnostic systems. I. Production rules
β Scribed by Aldo Aiello; Ernesto Burattini; Guglielmo Tamburrini
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 740 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0884-8173
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β¦ Synopsis
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.
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