A formal model of diagnostic inference. II. Algorithmic solution and application
type: Item
instance of: scholarly article
title: A formal model of diagnostic inference. II. Algorithmic solution and application
zbMATH Open document ID: 0583.68047
DOI: 10.1016/0020-0255(85)90016-7
author: James A. Reggia
author: Dana S. Nau
author: Pearl Y. Wang
author: Yun Peng
published in: Information Sciences
publication date: 1985-01-01T00:00:00Z
review text: This paper and its part I [reviewed above; see Zbl 0583.68046] present the generalized set-covering (GSC) formalization of diagnostic inference. In the current paper, the GSC model is used as the basis for algorithms modeling the ''hypothesize-and-test'' nature of diagnostic problem solving. Two situations are addressed: ''concurrent'' problem solving, in which all occurring manifestations are already known, and sequential problem solving, in which the manifestations are discovered one at a time. Each algorithm is explained and its correctness within the GSC framework is proven. The utility of the GSC model is illustrated by using it to describe and analyze some recent abductive expert systems for diagnostic problem solving. The limitations of the basic form of the GSC model are then discussed. A more general notion of ''parsimonious covering'' that includes the GSC model as a special case is then identified, and some important directions for further research are presented.
Mathematics Subject Classification ID: 68T20
zbMATH DE Number: 3934432
zbMATH Keywords: generalized set-covering
zbMATH Keywords: algorithms
zbMATH Keywords: diagnostic problem solving
zbMATH Keywords: expert systems
MaRDI profile type: Publication
full work available at URL: 0020-0255(85)90016-7
OpenAlex ID: W2036325929
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description: scientific article; zbMATH DE number 3934432