Handbook of defeasible reasoning and uncertainty management systems. Vol. 4, Abductive reasoning and learning

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. Front Matter....Pages i-v On the Relation between Abduction and Inductive Learning....Pages 1-33 AI Approaches to Abduction....Pages 35-98 Abduction in Labelled Deductive Systems....Pages 99-154 Logical Characterisations of Inductive Learning....Pages 155-196 Abduction in Machine Learning....Pages 197-229 An Overview of Ordinal and Numerical Approaches to Causal Diagnostic Problem Solving....Pages 231-280 Abductive Inference with Probabilistic Networks....Pages 281-314 Learning from Data: Possibilistic Graphical Models....Pages 315-389 Independence in Uncertainty Theories and Its Applications to Learning Belief Networks....Pages 391-434 Back Matter....Pages 435-442