Propositional, Probabilistic and Evidential Reasoning

Name: Propositional, Probabilistic and Evidential Reasoning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783790814149
Price: 551.7 RON
Availability: InStock

Integrating Numerical and Symbolic Approaches

Autor: Weiru Liu

Limbă:

Legare: Copertă tare

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

Disponibilitate: În depozitul extern

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551.70 lei

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

Informații despre carte

Autor

Weiru Liu

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2001

Pagini

274

EAN

9783790814149

ISBN

3790814148

Enbook ID

01737828

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

1290

Dimensiuni

155 x 235 x 20

Descriere completă

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

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