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Item Details
Title: FOUNDATIONS OF REASONING UNDER UNCERTAINTY
By: Bernadette Bouchon-Meunier (Editor), Luis Magdalena (Editor), Manuel Ojeda-Aciego (Editor)
Format: Paperback

List price: £109.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 364226235X
ISBN 13: 9783642262357
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 6 April, 2012
Edition: Previously published in hardcover
Series: Studies in Fuzziness and Soft Computing 249
Pages: 265
Description: This book draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Malaga, Spain. The conference brought together some of the world's leading experts in the study of uncertainty.
Synopsis: Uncertainty exists almost everywhere, except in the most idealized situations; it is not only an inevitable and ubiquitous phenomenon, but also a fundamental sci- ti?c principle. Furthermore, uncertainty is an attribute of information and, usually, decision-relevant information is uncertain and/or imprecise, therefore the abilities to handle uncertain information and to reason from incomplete knowledge are c- cial features of intelligent behaviour in complex and dynamic environments. By carefully exploiting our tolerance for imprecision and approximation we can often achieve tractability, robustness, and better descriptions of reality than traditional - ductive methods would allow us to obtain. In conclusion, as we move further into the ageofmachineintelligence,theproblemofreasoningunderuncertainty,in other words, drawing conclusions from partial knowledge, has become a major research theme. Not surprisingly,the rigoroustreatment of uncertaintyrequiressophisticated - chinery, and the present volume is conceived as a contribution to a better und- standing of the foundations of information processing and decision-making in an environment of uncertainty, imprecision and partiality of truth. This volume draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Malaga, ' Spain, or- nized by the University of Mal ' aga. The conference brought together some of the world's leading experts in the study of uncertainty.
Illustrations: 41 Tables, black and white; XIII, 265 p.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
Some other items by this author:
ADVANCES IN COMPUTATIONAL INTELLIGENCE (PB)
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PART I (PB)
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PART II (PB)
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PART III (PB)
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PART IV (PB)
ADVANCES IN INTELLIGENT COMPUTING - IPMU '94 (PB)
AGGREGATION AND FUSION OF IMPERFECT INFORMATION (HB)
AGGREGATION AND FUSION OF IMPERFECT INFORMATION (PB)
COMBINING EXPERIMENTATION AND THEORY (HB)
COMBINING EXPERIMENTATION AND THEORY (PB)
ENRIC TRILLAS: A PASSION FOR FUZZY SETS (HB)
ENRIC TRILLAS: A PASSION FOR FUZZY SETS (PB)
EXPLAINABLE FUZZY SYSTEMS
EXPLAINABLE FUZZY SYSTEMS (HB)
FORMAL CONCEPT ANALYSIS (PB)
FOUNDATIONS OF REASONING UNDER UNCERTAINTY (HB)
FUZZY LOGIC AND SOFT COMPUTING (HB)
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY (PB)
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY (PB)
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY (PB)
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS (PB)
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS (PB)
INFORMATION, UNCERTAINTY AND FUSION (HB)
INFORMATION, UNCERTAINTY AND FUSION (PB)
INTELLIGENT SYSTEMS FOR INFORMATION PROCESSING: FROM REPRESENTATION TO APPLICATIONS (HB)
IPMU'92 - ADVANCED METHODS IN ARTIFICIAL INTELLIGENCE (PB)
LOGICS IN ARTIFICIAL INTELLIGENCE (PB)
MODERN INFORMATION PROCESSING (HB)
TECHNOLOGIES FOR CONSTRUCTING INTELLIGENT SYSTEMS 1 (HB)
TECHNOLOGIES FOR CONSTRUCTING INTELLIGENT SYSTEMS 1 (PB)
TECHNOLOGIES FOR CONSTRUCTING INTELLIGENT SYSTEMS 2 (HB)
TECHNOLOGIES FOR CONSTRUCTING INTELLIGENT SYSTEMS 2 (PB)
THEORY AND PRACTICE OF NATURAL COMPUTING (PB)
UNCERTAINTY AND INTELLIGENT INFORMATION SYSTEMS (HB)
UNCERTAINTY IN INTELLIGENT AND INFORMATION SYSTEMS (HB)
UNCERTAINTY IN KNOWLEDGE BASES (PB)

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