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.