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Principles of knowledge representation

Author: Gerhard Brewka
Publisher: Stanford, Calif. : CSLI Publications ; [Dordrecht?] : FoLLI, the European Association for Logic, Language and Information, ©1996.
Series: Studies in logic, language, and information.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
The book contains a collection of eight survey papers written by some of the most excellent researchers in foundations of knowledge representation and reasoning. It covers topics like theories of uncertainty, nonmonotonic and causal reasoning, logic programming, abduction, inductive logic programming, description logics, complexity in Artificial Intelligence, and model based diagnosis. It thus provides an up-to-date  Read more...
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Genre/Form: Aufsatzsammlung
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Gerhard Brewka
ISBN: 1575860570 9781575860572 1575860562 9781575860565
OCLC Number: 34782744
Description: xvi, 318 pages : illustrations ; 24 cm.
Contents: Non-standard theories of uncertainty in plausible reasoning / Didier Dubois and Henri Prade --
Probabilistic foundations of reasoning with conditionals / Judea Pearl and Moisés Goldszmidt --
Foundations of logic programming / Vladimir Lifschitz --
Abductive theories in artificial intelligence / Kurt Konolige --
Inductive logic programming / Stefan Wrobel --
Reasoning in description logics / Francesco M. Donini [and others] --
Artificial intelligence : a computational perspective / Bernhard Nebel --
The consistency-based approach to automated diagnosis of devices / Oskar Dressler and Peter Struss.
Series Title: Studies in logic, language, and information.
Responsibility: edited by Gerhard Brewka.
More information:

Abstract:

The book contains a collection of eight survey papers written by some of the most excellent researchers in foundations of knowledge representation and reasoning. It covers topics like theories of uncertainty, nonmonotonic and causal reasoning, logic programming, abduction, inductive logic programming, description logics, complexity in Artificial Intelligence, and model based diagnosis. It thus provides an up-to-date coverage of recent approaches to some of the most challenging problems underlying knowledge representation and Artificial Intelligence in general.

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