Abductive Reasoning and Learning
Author:   Dov M. Gabbay ,  Philippe Smets
Publisher:   Springer
Edition:   Softcover reprint of the original 1st ed. 2000
Volume:   4
ISBN:  

9789048155606


Pages:   442
Publication Date:   05 December 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Abductive Reasoning and Learning


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Overview

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.

Full Product Details

Author:   Dov M. Gabbay ,  Philippe Smets
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 2000
Volume:   4
Dimensions:   Width: 15.50cm , Height: 2.30cm , Length: 23.50cm
Weight:   0.688kg
ISBN:  

9789048155606


ISBN 10:   9048155606
Pages:   442
Publication Date:   05 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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.

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