Future data and knowledge base systems will require new and improved functions such as richer data modeling capabilities, more powerful query languages, and new conceptions of query answers. Future query languages will need to include hypothetical, abductive, meta-, and modal reasoning, involving both knowledge and belief. And intentional answers will ultimately lead to cooperative query answering which takes into consideration a user's expectations. This book explores the formalization of new queries and answers, and emphasizes the important role of non-classical logic. It shows how logic permits precise definitions for concepts like cooperative answers, subjective queries, and reliable sources of information. The work also gives a precise framework for reasoning about such complex concepts. Topics include cooperative query answering, metareasoning and abductive reasoning, and hypothetical and subjunctive reasoning. Students and researchers in database computing and artificial intelligence will want to read this book.
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R. Demolombe is at Centre d'Études et de Recherches de Toulouse. T. Imielinski is at Rutgers University, New Jersey.
"About this title" may belong to another edition of this title.
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Condition: New. Provides a basic review of logic theory, which highlights the fact that new functionalities will be required to pave the way for future data and knowledge based systems. The text describes how logic permits precise definitions for such concepts as co-operative answers and subjective queries. Editor(s): Demolombe, R.; Imielinski, Tomasz. Series: Studies in Logic & Computation. Num Pages: 292 pages, line drawings. BIC Classification: PBCD; UYA; UYF; UYQ. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 22. Weight in Grams: 615. . 1994. Hardback. . . . . Seller Inventory # V9780198538523
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