Propositional, Probabilistic and Evidential Reasoning

Name: Propositional, Probabilistic and Evidential Reasoning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783790824933
Price: 116.16 EUR
Availability: InStock

Integrating Numerical and Symbolic Approaches

Автор: Weiru Liu

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад в ограничено количество

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116.16 € 227.18 лв

The book systematically provides the reader with a broad range of systems/research work to date that...

Информация за книгата

Автор

Weiru Liu

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

274

EAN

9783790824933

ISBN

3790824933

Enbook ID

01738158

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

450

Размери

155 x 235 x 16

Пълно описание

The book systematically provides the reader with a broad range of systems/research work to date that addresses the importance of combining numerical and symbolic approaches to reasoning under uncertainty in complex applications. It covers techniques on how to extend propositional logic to a probabilistic one and compares such derived probabilistic logic with closely related mechanisms, namely evidence theory, assumption-based truth maintenance systems and rough sets, in terms of representing and reasoning with knowledge and evidence.§The book primarily addresses researchers, practitioners, students and lecturers in the field of Artificial Intelligence, particularly in the areas of reasoning under uncertainty, logic, knowledge representation and reasoning, and non-monotonic reasoning.The book systematically provides the reader with a broad range of systems/research work to date that address the importance of combining numerical and symbolic approaches to reasoning under uncertainty in complex applications. It covers techniques on how to extend propositional logic to a probabilistic one and compares such derived probabilistic logic with closely related mechanisms, namely evidence theory, assumption based truth maintenance systems and rough sets, in terms of representing and reasoning with knowledge and evidence.§The book is addressed primarily to researchers, practitioners, students and lecturers in the field of Artificial Intelligence, particularly in the areas of reasoning under uncertainty, logic, knowledge representation and reasoning, and non-monotonic reasoning.

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Propositional, Probabilistic and Evidential Reasoning

Integrating Numerical and Symbolic Approaches

Информация за книгата

Пълно описание

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