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Exemplar-based knowledge acquisition : a unified approach to concept representation, classification, and learning /
Learning from past experiences is a fundamental element of intelligent behavior. An important organizing principle of such learning is that common experiences are collected into categories or cases. Despite its simple description, this principle is surprisingly difficult to implement computationally...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Academic Press, Inc.,
[1989]
|
| Colección: | Perspectives in artificial intelligence ;
v. 2. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Bareiss, Ray. | |
| 245 | 1 | 0 | |a Exemplar-based knowledge acquisition : |b a unified approach to concept representation, classification, and learning / |c Ray Bareiss. |
| 246 | 3 | 0 | |a Unified approach to concept representation, classification, and learning |
| 264 | 1 | |a Boston : |b Academic Press, Inc., |c [1989] | |
| 264 | 4 | |c �1989 | |
| 300 | |a 1 online resource (xii, 169 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 Perspectives in artificial intelligence ; |v v. 2 | |
| 504 | |a Includes glossaries (pages 153-158), bibliographical references (pages 159-166) , and index. | ||
| 505 | 0 | 0 | |t Introduction -- |t An overview of the Protos approach -- |t The design of the Protos system -- |t Evaluation of Protos -- |t Related research -- |t Contributions and future work -- |g Appendix A. |t Human concept representation -- |g Appendix B. |t Protos' category structure -- |g Appendix C. |t Protos' explanation language -- |g Appendix D. |t Explanation heuristics -- |g Appendix E. |t The experimental questionnaire. |
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 520 | |a Learning from past experiences is a fundamental element of intelligent behavior. An important organizing principle of such learning is that common experiences are collected into categories or cases. Despite its simple description, this principle is surprisingly difficult to implement computationally. This book describes the design, implementation, and experimental evaluation of the Protos knowledge acquisition system, a practical tool for the construction of knowledge-based programs. Protos is a case-based learning apprentice that learns by solving problems under the guidance of an expert teacher. | ||
| 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. | |
| 630 | 0 | 0 | |a Protos. |
| 650 | 0 | |a Categorization (Psychology) |x Data processing. | |
| 650 | 0 | |a Mental representation |x Data processing. | |
| 650 | 0 | |a Learning, Psychology of |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Knowledge acquisition (Expert systems) | |
| 650 | 0 | |a Categorization (Psychology) | |
| 650 | 0 | |a Mental representation. | |
| 650 | 0 | |a Learning, Psychology of. | |
| 650 | 2 | |a Artificial Intelligence |0 (DNLM)D001185 | |
| 650 | 2 | |a Machine Learning |0 (DNLM)D000069550 | |
| 650 | 6 | |a Cat�egorisation (Psychologie) |0 (CaQQLa)201-0019573 | |
| 650 | 6 | |a Repr�esentation mentale. |0 (CaQQLa)201-0184490 | |
| 650 | 6 | |a Psychologie de l'apprentissage. |0 (CaQQLa)201-0009360 | |
| 650 | 6 | |a Apprentissage automatique. |0 (CaQQLa)201-0131435 | |
| 650 | 6 | |a Intelligence artificielle. |0 (CaQQLa)201-0008626 | |
| 650 | 6 | |a Protos (Programme d'ordinateur) | |
| 650 | 6 | |a Cat�egorisation (Psychologie) |0 (CaQQLa)201-0019573 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Repr�esentation mentale |0 (CaQQLa)201-0184490 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Psychologie de l'apprentissage |0 (CaQQLa)201-0009360 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 7 | |a artificial intelligence. |2 aat |0 (CStmoGRI)aat300251574 | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Mental representation |2 fast |0 (OCoLC)fst01016620 | |
| 650 | 7 | |a Learning, Psychology of |2 fast |0 (OCoLC)fst00995009 | |
| 650 | 7 | |a Categorization (Psychology) |2 fast |0 (OCoLC)fst00849006 | |
| 650 | 7 | |a Machine learning |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Learning, Psychology of |x Data processing |2 fast |0 (OCoLC)fst00995011 | |
| 650 | 7 | |a Artificial intelligence |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Knowledge acquisition (Expert systems) |2 fast |0 (OCoLC)fst00988182 | |
| 650 | 1 | 7 | |a Kennisverwerving. |2 gtt |
| 650 | 1 | 7 | |a Expertsystemen. |2 gtt |
| 650 | 1 | 7 | |a Classificatie. |2 gtt |
| 650 | 7 | |a Acquisition des connaissances (syst�emes experts) |2 ram | |
| 650 | 7 | |a Datenverarbeitung. |2 gnd | |
| 650 | 7 | |a Expertensystem. |2 gnd | |
| 650 | 7 | |a Kategorisierung. |2 gnd | |
| 650 | 7 | |a Lernpsychologie. |2 gnd | |
| 650 | 7 | |a PROTOS |g Programm. |2 gnd | |
| 650 | 7 | |a Protos. |2 gnd | |
| 650 | 7 | |a Psychologie. |2 gnd | |
| 650 | 7 | |a Wissensbasiertes System. |2 gnd | |
| 653 | 0 | |a Knowledge acquisition (Expert systems) | |
| 776 | 0 | 8 | |i Print version: |a Bareiss, Ray. |t Exemplar-based knowledge acquisition. |d Boston : Academic Press, �1989 |w (DLC) 89015198 |w (OCoLC)20016231 |
| 830 | 0 | |a Perspectives in artificial intelligence ; |v v. 2. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780120782604 |z Texto completo |