Abduction and Induction

Essays on their Relation and Integration

AvP.A. Flach,Antonis Hadjiantonis

Inbunden, Engelska, 2000

Del 18 i serien Applied Logic Series

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Beskrivning

From the very beginning of their investigation of human reasoning, philosophers have identified two other forms of reasoning, besides deduction, which we now call abduction and induction. Deduction is now fairly well understood, but abduction and induction have eluded a similar level of understanding. The papers collected here address the relationship between abduction and induction and their possible integration. The approach is sometimes philosophical, sometimes that of pure logic, and some papers adopt the more task-oriented approach of AI. The book should be of interest to philosophers, logicians, AI researchers and computer scientists in general.

Produktinformation

Utgivningsdatum:2000-04-30
Mått:210 x 297 x 23 mm
Vikt:670 g
Format:Inbunden
Språk:Engelska
Serie:Applied Logic Series
Antal sidor:309
Upplaga:2000
Förlag:Kluwer Academic Publishers
ISBN:9780792362500

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Matematikens grunder inom Naturvetenskap och teknik
Programmeringsböcker inom Data och IT

Recensioner i media

'The present book ... does throw open windows towards understanding the true complexities of reasoning, by presenting abduction and induction intertwined as a fascinating case study for 'real logic'.' Johan van Benthem, University of Amsterdam

Innehållsförteckning

1 Abductive and inductive reasoning: background and issues.- 2 Smart inductive generalizations are abductions.- 3 Abduction as epistemic change: a Peircean model in Artificial Intelligence.- 4 Abduction: between conceptual richness and computational complexity.- 5 On relationships between induction and abduction: a logical point of view.- 6 On the logic of hypothesis generation.- 7 Abduction and induction from a non-monotonic reasoning perspective.- 8 Unified inference in extended syllogism.- 9 On the relations between abductive and inductive explanation.- 10 Learning, Bayesian probability, graphical models, and abduction.- 11 On the relation between abductive and inductive hypotheses.- 12 Integrating abduction and induction in Machine Learning.- 13 Abduction and induction combined in a metalogic framework.- 14 Learning abductive and nonmonotonic logic programs.- 15 Cooperation of abduction and induction in Logic Programming.- 16 Abductive generalization and specialization.- 17 Using abduction for induction based on bottom generalization.