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Probabilistic reasoning in intelligent systems : networks of plausible inference /
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Francisco, Calif. :
Morgan Kaufmann Publishers,
[1988]
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| Edición: | Revised second printing, revised & updated edition. |
| Colección: | Morgan Kaufmann series in representation and reasoning.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks. |
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| Descripción Física: | 1 online resource (xix, 552 pages) |
| ISBN: | 9780080514895 0080514898 |