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Abductive Reasoning and Learning: Handbook of Defeasible Reasoning and Uncertainty Management Systems, cartea 4

Editat de Dov M. Gabbay, Philippe Smets
en Limba Engleză Hardback – 30 sep 2000
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.
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Specificații

ISBN-13: 9780792365655
ISBN-10: 0792365658
Pagini: 442
Ilustrații: VI, 442 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.81 kg
Ediția:2000
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Handbook of Defeasible Reasoning and Uncertainty Management Systems

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

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.