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...
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| Format: | eBook |
| Language: | English |
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San Francisco, CA
Morgan Kaufmann Publishers
1988
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| Edition: | Revised second printing |
| Series: | The Morgan Kaufmann series in representation and reasoning
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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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| Physical Description: | 1 volume illustrations |
| ISBN: | 9780080514895 |