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Pearl J. — Probabilistic reasoning in intelligent systems: networks of plausible inference
Pearl J. — Probabilistic reasoning in intelligent systems: networks of plausible inference

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Название: Probabilistic reasoning in intelligent systems: networks of plausible inference

Автор: Pearl J.

Аннотация:

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 provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition — in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.


Язык: en

Рубрика: Разное/

Статус предметного указателя: Неизвестно

ed2k: ed2k stats

Издание: 1

Год издания: 1988

Количество страниц: 557

Добавлена в каталог: 19.10.2010

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