Abduction and Induction

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.