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...
| Otros Autores: | , , , , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
San Francisco, California :
Morgan Kaufmann Publishers, Inc
1988.
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| Edición: | Revised second printing |
| Colección: | Morgan Kaufmann series in representation and reasoning.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629653406719 |
| 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, that provid |
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| Notas: | "Revised Second Printing"--Cover. |
| Descripción Física: | 1 online resource (573 p.) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781322465562 |
