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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 |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Academic Press, Inc.,
[1989]
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| Colección: | Perspectives in artificial intelligence ;
v. 2. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (xii, 169 pages) : illustrations |
| Bibliografía: | Includes glossaries (pages 153-158), bibliographical references (pages 159-166) , and index. |
| ISBN: | 9780120782604 012078260X 9781483216379 1483216373 |