A methodology for uncertainty in knowledge-based systems

In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a cor...

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Những tác giả chính: Weichselberger, Kurt, Pöhlmann, Sigrid (Tác giả)
Định dạng: Livre numérique
Ngôn ngữ:Anglais
Được phát hành: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Loạt:Lecture notes in computer science. Lecture notes in artificial intelligence 419
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Chú thích: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• A Methodology for uncertainty in knowledge-based systems, Kurt Weichselberger, Sigrid Pöhlmann, 1990, Berlin, Springer-Verlag, 1 vol. (132 p.), Lecture notes in computer science, 0-387-52336-7
• A Methodology for Uncertainty in Knowledge-Based Systems, Texte imprimé, 9783662170854
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245 1 0 |a A methodology for uncertainty in knowledge-based systems   |c Kurt Weichselberger, Sigrid Pöhlmann. 
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505 0 |a The aims of this study -- Interval estimation of probabilities -- Related theories -- The simplest case of a diagnostic system -- Generalizations -- Interval estimation of probabilities in diagnostic systems -- A demonstration of the use of interval estimation. 
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520 |a In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases. 
650 |a Informatique 
650 |a Intelligence artificielle 
650 |a Types abstraits de données (informatique) 
650 |a Incertitude 
650 |a Logique symbolique et mathématique 
650 |a Probabilités 
650 |a Tri (informatique) 
700 1 |a Pöhlmann, Sigrid.  |4 aut 
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