Logic and Representation
Robert C. Moore(Author)
The Center for the Study of Language and Information Publications (Publisher)
Published on 1. January 1995
Book
Hardback
210 pages
978-1-881526-16-2 (ISBN)
Unfortunately, price unknown
No shipping information available
Description
Logic and Representation brings together a collection of essays, written over a period of ten years, that apply formal logic and the notion of explicit representation of knowledge to a variety of problems in artificial intelligence, natural language semantics and the philosophy of mind and language. Particular attention is paid to modelling and reasoning about knowledge and belief, including reasoning about one's own beliefs, and the semantics of sentences about knowledge and belief. Robert C. Moore begins by exploring the role of logic in artificial intelligence, considering logic as an analytical tool, as a basis for reasoning systems, and as a programming language. He then looks at various logical analyses of propositional attitudes, including possible-world models, syntactic models, and models based on Russellian propositions. Next Moore examines autoepistemic logic, a logic for modelling reasoning about one's own beliefs. Rounding out the volume is a section on the semantics of natural language, including a survey of problems in semantic representation; a detailed study of the relations among events, situations, and adverbs; and a presentation of a unification-based approach to semantic interpretation. Robert C. Moore is principal scientist of the Artificial Intelligence Center of SRI International.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Dimensions
Height: 237 mm
Width: 157 mm
Thickness: 19 mm
Weight
514 gr
ISBN-13
978-1-881526-16-2 (9781881526162)
Schweitzer Classification
Person
Content
Part I. Methodological Arguments: 1. The role of logic in artificial intelligence: 2. A cognitivist reply to behaviourism; Part II. Propositional Attitudes: 3. A formal theory of knowledge and action; 4. Computational models of belief and the semantics of belief sentences; 5. Propositional attitudes and Russellian propositions; Part III. Autoepistemic Logic: 6. Semantical considerations on nonmonotonic logic; 7. Possible-world semantics for autoepistemic logic; Part IV. Semantics of Natural Language: 8. Events, situations, and adverbs; 9. Unification-based semantic interpretation; Index.