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＜電子ブック＞
Abductive Reasoning and Learning / edited by Dov M. Gabbay, Philippe Smets
(Handbook of Defeasible Reasoning and Uncertainty Management Systems ; 4)

版	1st ed. 2000.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	2000
本文言語	英語
大きさ	VI, 442 p : online resource
著者標目	Gabbay, Dov M editor Smets, Philippe editor SpringerLink (Online service)
件　名	LCSH:Mathematical logic LCSH:Logic LCSH:Artificial intelligence LCSH:Probabilities FREE:Mathematical Logic and Foundations FREE:Logic FREE:Artificial Intelligence FREE:Probability Theory
一般注記	On the Relation between Abduction and Inductive Learning -- I: Logical Approaches -- AI Approaches to Abduction -- Abduction in Labelled Deductive Systems -- Logical Characterisations of Inductive Learning -- Abduction in Machine Learning -- II: Numerical Approaches -- An Overview of Ordinal and Numerical Approaches to Causal Diagnostic Problem Solving -- Abductive Inference with Probabilistic Networks -- Learning from Data: Possibilistic Graphical Models -- Independence in Uncertainty Theories and its Applications to Learning Belief Networks This book contains leading survey papers on the various aspects of Abduction, both logical and numerical approaches. Abduction is central to all areas of applied reasoning, including artificial intelligence, philosophy of science, machine learning, data mining and decision theory, as well as logic itself HTTP:URL=https://doi.org/10.1007/978-94-017-1733-5

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