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Springer Foundations of Reasoning under Uncertainty - Springer

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Description

Uncertainty is a fundamental scientific principle that exists across nearly all real-world situations, making the ability to reason under imprecision essential for intelligent behaviour in complex environments. This book, part of Springer's Studies in Fuzziness and Soft Computing series (volume 249), explores how to handle uncertain and incomplete information effectively. By exploiting our tolerance for approximation and imprecision, organisations and systems can achieve greater tractability and robustness when making decisions with incomplete knowledge. The work addresses the critical intersection of information theory, decision science, and artificial intelligence, providing foundational concepts for anyone working with uncertain data or building intelligent systems that must operate in dynamic, unpredictable conditions.

Key Features

Volume 249 in the Studies in Fuzziness and Soft Computing series, offering peer-reviewed research on uncertainty handling methods.

Published by Springer, a leading academic publisher specialising in computer science, mathematics, and AI-related content.

Provides theoretical foundations for reasoning with incomplete and imprecise information in intelligent systems.

Explores practical approaches to achieving tractability and robustness when decision-relevant information is uncertain.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 February 2010
Listed Since
27 October 2009

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No barcode data available

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