Probabilistic multi-knowledge-base systems
type: Item
instance of: scholarly article
title: Probabilistic multi-knowledge-base systems
zbMATH Open document ID: 0811.68118
DOI: 10.1007/BF00872110
author: Keung-Chi Ng
author: Bruce Abramson
published in: Applied Intelligence
publication date: 1994-07-21T00:00:00Z
review text: The paper proposes a new decision aid, Probabilistic Multi-Knowledge-Base System (PMKBS). Its main goal is to provide support to decision-makers faced with the derivation of a consensus-diagnosis. PMKBS was proposed based on experience with medical consultation scenarios. However, the authors claim that it will be applicable in every situation in which (1) all contributors operate in good faith and work towards the same goal, (2) possible hypotheses are mutually exclusive and exhaustive, (3) all contributors express their opinions as probability distributions. Results on development of the prototype system are provided as well as the discussion of performance analysis.
Mathematics Subject Classification ID: 68T35
zbMATH DE Number: 609556
zbMATH Keywords: belief networks
zbMATH Keywords: multi-expert systems
zbMATH Keywords: probabilistic multi-knowledge-base system
reviewed by: Mirosław Truszczyński
MaRDI profile type: Publication
cites work: Q3491487
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description: scientific article; zbMATH DE number 609556