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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Detalhes bibliográficos
Auteurs principaux: Weichselberger, Kurt, Pöhlmann, Sigrid (Auteur)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Colecção:Lecture notes in computer science. Lecture notes in artificial intelligence 419
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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
Descrição
Resumo: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.
Descrição do item:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540469643 (PDF)
ISSN:1611-3349
2945-9141
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017