The Logic of Knowledge Bases

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Date: 04 Feb 2019
Publisher: MIT Press Ltd
Format: Paperback::300 pages
ISBN10: 026253682X
Imprint: MIT Press
File size: 47 Mb
Dimension: 178x 229x 19mm

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Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. The logic of knowledge bases [electronic resource] in SearchWorks catalog Skip to search Skip to main content The SDKB workshop presented original contributions demonstrating the use of logic, discrete mathematics, combinatorics, domain theory and other mathematical theories of semantics for database and knowledge bases, computational linguistics and semiotics, and information and knowledge … This book describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning.The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system To the best of our knowledge, this is the first result of polynomial data complexity for query answering over DL knowledge bases. A notable feature of our logic is to allow for a separation between TBox and ABox reasoning during query evaluation: the part of the process requiring TBox reasoning is independent of the ABox, and the part of the Uncovering the Logic of English challenges the notion that English is illogical systematically explaining English spelling and answering questions like “Why is there a silent final E in have, large, and house?” and “Why is discussion spelled with -sion rather than -tion?” With easy-to-read examples and anecdotes, this book describes: Some formal representation issues underlying the use of incomplete knowledge bases are discussed. An incomplete knowledge base is one that has only partial knowledge of the application domain. It is Buy Knowledge and Belief: An Introduction to the Logic of the Two Notions Jaakko Hintikka, Vincent F. Hendricks, John Symons (ISBN: 9781904987086) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders. Many merging operators have been proposed to deal with this problem in possibilistic logic, a weighted logic which is powerful for handling inconsistency and deal-ing with uncertainty. They often result in a possibilistic knowledge base which is a set of weighted formulas. Knowledge and Belief An Introduction to the Logic of the Two Notions Jaakko Hintikka Prepared Vincent F. Hendricks & John Symons In 1962 Jaakko Hintikka published Knowledge and Belief: An Introduction to the Logic of the Two Notions with Cornell University Press. CONTENTS IX Thesis 13: Propositions are abstract entities in their own right; that is, they are sui generis, they are not to be identified with any other kind of abstract entity. 84 Categorial differences between sentences and propositions 86 One final note 86 3. @article{osti_7190033, title = A description-oriented logic for building knowledge bases, author = Attardi, G. And Simi, M., abstractNote = {The authors discuss the advantages of using a logic system for knowledge representation which is based on descriptions, rather than predicates, and which embodies two fundamental ideas for structuring Note: The registration form for the midterm exam can be found here. An announcement of the course can also be found in the course information system CAMPUS. Contents. This course is about the logic of knowledge bases, in two distinct but related senses. On the one hand, a knowledge base is a collection of sentences in a representation language that entails a certain picture of the world Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. The logic of knowledge bases in SearchWorks catalog … This book describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. The idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system In the early days of artificial intelligence it was widely believed that powerful computers would, in the future, enable mankind to solve many real-world problems through the use of very general inference procedures and very little domain-specific knowledge. With the benefit of hindsight, this view can now be called quite naive. The field of expert systems, which developed during the early CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Recently Lakemeyer and Levesque proposed the logic, which amalgamates both the situation calculus and Levesque’s logic of only knowing. While very expressive the practical relevance of the formalism is unclear because it heavily relies on second-order logic. In this paper we demonstrate that the picture is not as Gerhard Lakemeyer is the author of Foundations Of Knowledge Representation And Reasoning (4.00 avg rating, 1 rating, 0 reviews, published 1994), Explorin A knowledge-based system decides how to act running formal reasoning procedures over a body of explicitly represented knowledge — a knowledge base. The system is not programmed for specific tasks; rather, it is told what it needs to know and expected to infer the rest. This book is about the logic of such knowledge bases. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Motta, Enrico (2002). The logic of knowledge bases: A review. AI Magazine, 23(1), pp. 115 Knowledge and Belief: An Introduction to the Logic of the Two Notions (Contemporary Philosophy) (9780801401879) Hintikka, Jaakko and a great selection of similar New, Used and Collectible Books available now at great prices. To the best of our knowledge, this is the first re- sult of polynomial data complexity for query answering over DL knowledge bases. A notable feature of our logic is to al- low for a separation We believe that the conference was productive and fruitful in the advance of research and application of information modelling and knowledge bases. This book features papers edited as a result of the presentation and discussion at the conference. The Editors. Anneli Heimb�rger, University of Jyv�skyl�, Finland. Yasushi Kiyoki, Keio Logic and Knowledge Bases: 10.4018/978-1-59140-573-3.ch076: Knowledge bases (KBs) must be able to capture a wide range of situations. One must be able to represent and answer questions regarding indefinite information

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