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Knowledge representation : an approach to artificial intelligence /
Although many texts exist offering an introduction to artificial intelligence (AI), this book is unique in that it places an emphasis on knowledge representation (KR) concepts. It includes small-scale implementations in PROLOG to illustrate the major KR paradigms and their developments.****back cove...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic,
�1990.
|
| Colección: | A.P.I.C. studies in data processing ;
v. 32. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231117044627.0 | ||
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| 008 | 111008s1990 enka ob 001 0 eng d | ||
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| 020 | |a 0120864401 |q (electronic bk.) | ||
| 020 | |a 9780120864409 |q (electronic bk.) | ||
| 020 | |a 9781483297101 | ||
| 020 | |a 1483297101 | ||
| 035 | |a (OCoLC)756420584 |z (OCoLC)755274928 |z (OCoLC)898422472 |z (OCoLC)1100958144 |z (OCoLC)1162105095 | ||
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| 084 | |a 54.72 |2 bcl | ||
| 100 | 1 | |a Bench-Capon, T. J. M. | |
| 245 | 1 | 0 | |a Knowledge representation : |b an approach to artificial intelligence / |c T.J.M. Bench-Capon. |
| 260 | |a London : |b Academic, |c �1990. | ||
| 300 | |a 1 online resource (xi, 220 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 | ||
| 490 | 1 | |a The A.P.I.C. series ; |v v. 32 | |
| 504 | |a Includes bibliographical references (pages 211-214) 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 2011. |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 2011 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 588 | 0 | |a Print version record. | |
| 520 | |a Although many texts exist offering an introduction to artificial intelligence (AI), this book is unique in that it places an emphasis on knowledge representation (KR) concepts. It includes small-scale implementations in PROLOG to illustrate the major KR paradigms and their developments.****back cover copy:**Knowledge representation is at the heart of the artificial intelligence enterprise: anyone writing a program which seeks to work by encoding and manipulating knowledge needs to pay attention to the scheme whereby he will represent the knowledge, and to be aware of the consequences of the choices made.****The book's distinctive approach introduces the topic of AI through a study of knowledge representation issues. It assumes a basic knowledge of computing and a familiarity with the principles of elementary formal logic would be advantageous.****Knowledge Representation: An Approach to Artificial Intelligence develops from an introductory consideration of AI, knowledge representation and logic, through search technique to the three central knowledge paradigms: production rules, structured objects, and predicate calculus. The final section of the book illustrates the application of these knowledge representation paradigms through the Prolog Programming language and with an examination of diverse expert systems applications. The book concludes with a look at some advanced issues in knowledge representation.****This text provides an introduction to AI through a study of knowledge representation and each chapter contains exercises for students. Experienced computer scientists and students alike, seeking an introduction to AI and knowledge representations will find this an invaluable text. | ||
| 505 | 0 | |a Front Cover; Knowledge Representation: An Approach to Artificial Intelligence; Copyright Page; Preface; Table of Contents; Chapter 1. Introduction to Artificial Intelligence and Knowledge-Based Systems; 1.1. Artificial and intelligent; References; Chapter 2. Introduction to Knowledge Representation; 2.1. What is knowledge representation?; 2.2. Criteria of adequacy; 2.3. Expressiveness; 2.4. Example of the use of these criteria; 2.5. Major paradigms; 2.6. Manipulation of representations; Reference; Chapter 3. Logic; 3.1. Basics; 3.2. Basics of propositional calculus | |
| 505 | 8 | |a 3.3. Basics of predicate calculus3.4. Exotic logics; 3.5. Modal logics; References; Chapter 4. Search; 4.1. Search spaces; 4.2. Search methods; 4.3. Limitations of search; 4.4. Human problem solving; Reference; Chapter 5. Production Rules; 5.1. Form of production rules; 5.2. Components of a production system; 5.3. Operation of a production system; 5.4. Pros and cons of production systems; References; Chapter 6. Structured Objects; 6.1. Semantic networks; 6.2. Frames; References; Chapter 7. Logic and Predicate Calculus; 7.1. Advantages of predicate calculus | |
| 505 | 8 | |a 7.2. Foundations of logic programming7.3. Main ideas of logic programming; References; Chapter 8. Prolog; 8.1. Features of Prolog; 8.2. Prolog for logic programming; 8.3. Prolog as a deductive database; 8.4. Non-logical features of PROLOG; 8.5. Prolog an AI programming language; 8.6. Summary; References; Chapter 9. Expert Systems; 9.1. Why expert systems?; 9.2. What is an expert?; 9.3. What is an expert system?; 9.4. Basic expert systems components; 9.5. Early expert systems; 9.6. Expert system shells; 9.7. Typical facilities of an expert system shell; 9.8. Trends in expert systems | |
| 505 | 8 | |a 9.9. Examples of current expert systemsReferences; Chapter 10. Some Issues in Knowledge Representation; 10.1. Similarities between the paradigms; 10.2. Expressiveness of Horn Clauses; 10.3. Non-monotonicreasoning; 10.4. Inexact reasoning and rule-based systems; 10.5. Representation of control knowledge; 10.6. Time; 10.7. Model-based representation; 10.8. Conclusion; References; Bibliography; Index | |
| 546 | |a English. | ||
| 650 | 0 | |a Artificial intelligence |x Data processing. | |
| 650 | 0 | |a Knowledge representation (Information theory) | |
| 650 | 6 | |a Repr�esentation des connaissances. |0 (CaQQLa)201-0216689 | |
| 650 | 6 | |a Intelligence artificielle |x Informatique. |0 (CaQQLa)201-0131916 | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Knowledge representation (Information theory) |2 fast |0 (OCoLC)fst00988187 | |
| 650 | 7 | |a Artificial intelligence |x Data processing |2 fast |0 (OCoLC)fst00817255 | |
| 650 | 1 | 7 | |a Algoritmen. |2 gtt |
| 650 | 1 | 7 | |a Kunstmatige intelligentie. |2 gtt |
| 650 | 1 | 7 | |a Kennisrepresentatie. |2 gtt |
| 650 | 7 | |a Intelligence artificielle. |2 ram | |
| 653 | |a Artificial intelligence | ||
| 776 | 0 | 8 | |i Print version: |a Bench-Capon, T.J.M. |t Knowledge representation. |d London : Academic, �1990 |w (OCoLC)24746898 |
| 830 | 0 | |a A.P.I.C. studies in data processing ; |v v. 32. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780120864409 |z Texto completo |