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Knowledge and inference /

Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nagao, Makoto, 1936-2021
Formato: Electrónico eBook
Idioma:Inglés
Japonés
Publicado: Boston : Academic Press : Harcourt Brace Jovanovich, �1990.
Temas:
Acceso en línea:Texto completo

MARC

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035 |a (OCoLC)643884711  |z (OCoLC)301123727  |z (OCoLC)899000013  |z (OCoLC)974615349  |z (OCoLC)974670516  |z (OCoLC)1100951300  |z (OCoLC)1162055010  |z (OCoLC)1257382647 
041 1 |a eng  |h jpn 
042 |a dlr 
050 4 |a Q335  |b .N3413 1990 
082 0 4 |a 006.3  |2 20 
100 1 |a Nagao, Makoto,  |d 1936-2021. 
240 1 0 |a Chishiki to suiron.  |l English 
245 1 0 |a Knowledge and inference /  |c Makoto Nagao ; translated by Richard Weyrauch and Yasuko Kitajima. 
260 |a Boston :  |b Academic Press :  |b Harcourt Brace Jovanovich,  |c �1990. 
300 |a 1 online resource (xv, 304 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 297-300) and index. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
588 0 |a Print version record. 
505 0 |a Front Cover; Knowledge and Inference; Copyright Page; Table of Contents; Preface; Reader's Guide; Chapter 1. What Is Knowledge?; 1.1 How Knowledge Is Seen in Philosophy; 1.2 Method in Natural Science; 1.3 Knowledge in Artificial Intelligence; 1.4 Factual Knowledge; 1.5 Inference Knowledge; Summary; Key Words; Exercises; Chapter 2. Factual Knowledge and Its Organization; 2.1 The Organization of Document Information; 2.2 Organization of Factual Knowledge; 2.3 Thesaurus; 2.4 Storage Structure of Information; 2.5 Information Retrieval; 2.6 Mathematical Theory of Classification; Summary; Key Words 
505 8 |a ExercisesChapter 3. Inferential Knowledge and Problem-Solving (I); 3.1 State-Space Representation of a Problem; 3.2 Search Tree; 3.3 Programs for Game-Tree Search; 3.4 Graph Search; 3.5 Characteristics of Problem-Solving Using State-Representations; 3.6 Discovery of an Algorithm; Summary; Key Words; Exercises; Chapter 4. Inferential Knowledge and Problem-Slving (II); 4.1 Use of Heuristic Knowledge; 4.2 Finding a Solution by the Decomposition of a Problem; 4.3 Blackboard Model; 4.4 Knowledge as a Constraint; 4.5 Mutual Model; Summary; Key Words; Exercises 
505 8 |a Chapter 5. Inference Using Symbolic Logic5.1 Expressions of Rules Using Symbolic Logic; 5.2 Proof Using Forward and Backward Reasoning; 5.3 Proof Using the Resolution Principle; 5.4 Forms of Questions; 5.5 Logical Representation of a Database; 5.6 Inference in Changing Situations; 5.7 Other Inference Methods; Summary; Key words; Exercises; Chapter 6. Knolwedge Representation and Question-Answering; 6.1 Semantic Networks; 6.2 Frames and Scripts; 6.3 Dialogue Model; Summary; Key Words; Exercises; Chapter 7. Expert Systems; 7.1 Features of Expert Systems; 7.2 Production Systems 
505 8 |a 7.3 A Program for Forward Reasoning7.4 A Program for Backward Reasoning; 7.5 Reliability of Inference; 7.6 Dialogue with a User; 7.7 Characteristics of an Expert System; Summary; Key Words; Exercises; Answers to Exercises; Recommended Books; Index 
520 |a Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence and library science. The book begins by clarifying the concept of """"knowledge"""" from many points of view, followed by a chapter on the current state of library science and the place of artificial intelligence in library science. Subsequent chapters cover central topics in the artificial intellig. 
546 |a English. 
650 0 |a Artificial intelligence. 
650 0 |a Knowledge, Theory of. 
650 0 |a Inference. 
650 2 |a Artificial Intelligence  |0 (DNLM)D001185 
650 6 |a Intelligence artificielle.  |0 (CaQQLa)201-0008626 
650 6 |a Th�eorie de la connaissance.  |0 (CaQQLa)201-0004936 
650 6 |a Inf�erence (Logique)  |0 (CaQQLa)201-0023261 
650 7 |a artificial intelligence.  |2 aat  |0 (CStmoGRI)aat300251574 
650 7 |a epistemology.  |2 aat  |0 (CStmoGRI)aat300054288 
650 7 |a Artificial intelligence  |2 fast  |0 (OCoLC)fst00817247 
650 7 |a Inference  |2 fast  |0 (OCoLC)fst00972355 
650 7 |a Knowledge, Theory of  |2 fast  |0 (OCoLC)fst00988194 
653 0 |a Artificial intelligence 
776 0 8 |i Print version:  |a Nagao, Makoto, 1936-  |s Chishiki to suiron. English.  |t Knowledge and inference.  |d Boston : Academic Press : Harcourt Brace Jovanovich, �1990  |w (DLC) 90004195  |w (OCoLC)21162560 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780125136624  |z Texto completo