Titlebook: Expert Systems in Engineering: Principles and Applications; Principles and Appli Georg Gottlob,Wolfgang Nejdl Conference proceedings 1990 S

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Hypothesis classification, abductive diagnosis and therapy,We discuss several issues in abductive diagnosis. First we define some classes of hypotheses with respect to a diagnosis (necessary, possible and irrelevant) and show some complexity results. Second we describe the . which aims at curing a malfunction of a system.

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https://doi.org/10.1007/3-540-53104-1CIM; Manufacturing; automation; database; environment; expert system

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An interval propagation and conflict recognition engine for diagnosing continuous dynamic systems, deals with numerical values that change with time and manages inaccuracies in these values. This is achieved by working on data that are arrays of numerical intervals. Imprecision in models is also processed by means of numerical intervals..An ATMS extension which encompasses the management of inte

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Sidia: Extending prediction based diagnosis to dynamic models, To deal with complexity we extended GDE to hierarchical models and integrated filters for conflicts and candidates. Diagnosis at different levels in the hierarchy rendered our application tractable. Conflict and candidate filtering assumptions, retractable when necessary, were a good means for effi

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A generic measurement proposer,ystem which allows the fast and effective realization of different measurement selection strategies for model-based diagnosis systems. The minimum entropy technique used in the General Diagnostic Engine (.) and a simplification of it presented in [de Kleer 89] are two possible instances of this syst

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A circumscribed diagnosis engine, doing exoneration. A robust theory of diagnosis must not presume the ways components fail. In order to build both, a parsimonious and robust theory of diagnosis, all the proofs which lead to the conclusion that components are not abnormal must be defeasible. This is a basic motivation to apply non