Sinossi
Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
1. Introduction.- 2. Analyzing the Utility Problem.- 3. Overview of the PRODIGY Problem Solver.- 4. Specialization.- 5. Compression.- 6. Utility Evaluation.- 7. Learning from Success.- 8. Learning from Failure.- 9. Learning from Goal Interactions.- 10. Performance Results.- 11. Proofs, Explanations, and Correctness: Putting It All Together.- 12. Related Work.- 13. Conclusion.- Appendix: Domain Specifications Index.
Product Description
Book by Minton Steven
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Learning Search Control Knowledge: An Explanation-Based Approach (The Springer International Series in Engineering and Computer Science, 61)
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver's search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate. 228 pp. Englisch. Codice articolo 9780898382945
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given doma. Codice articolo 5982425
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Learning Search Control Knowledge | An Explanation-Based Approach
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Buch. Condizione: Neu. Learning Search Control Knowledge | An Explanation-Based Approach | Steven Minton | Buch | x | Englisch | 1988 | Springer | EAN 9780898382945 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102527337
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver's search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 228 pp. Englisch. Codice articolo 9780898382945
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver's search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate. Codice articolo 9780898382945
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