Knowledge representation and reasoning under uncertainty : logic at work

This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which a...

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Detalhes bibliográficos
Autor principal: Masuch, Michael, 1949-
Outros Autores: Pólos, László, 1955- (Directeur de la publication)
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 808
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Nota: Actes d'une conférence tenue à Amsterdam du 17 au 19 décembre 1992, d'après la préface
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Edition sous un autre format:• Knowledge representation and reasoning under uncertainty, logic at work, Michael Masuch, László Pólos, (eds.), Berlin, Springer-Verlag, 1994, 1 vol. (237 p.), Lecture notes in computer science, 3-540-58095-6
• Knowledge Representation and Reasoning Under Uncertainty, Texte imprimé, 9783662197653
Descrição
Resumo:This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence. Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.
Descrição do item:Actes d'une conférence tenue à Amsterdam du 17 au 19 décembre 1992, d'après la préface
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540484516 (PDF)
ISSN:1611-3349
2945-9141
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Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017