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BOOK ANNOUNCEMENT

Abduction and Induction
Essays on their Relation and Integration

edited by
Peter A. Flach
Dept. of Computer Science, University of Bristol, UK
Antonis C. Kakas
Dept. of Computer Science, University of Cyprus, Nicosia

APPLIED LOGIC SERIES
Volume 18

Kluwer Academic Publishers, Dordrecht

Hardbound, ISBN 0-7923-6250-0
April 2000, 324 pp.
NLG 265.00 / USD 140.00 / GBP 88.00


To order:

from WKAP

from Amazon.com

from Amazon.co.uk

Book homepage:
http://www.cs.bris.ac.uk/~flach/AbdIndBook/


Blurb:
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 will command the attention of philosophers, logicians, AI
researchers and computer scientists in general.

`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


Contents and Contributors:
Foreword. Preface. Contributing Authors. 1. Abductive and inductive
reasoning: background and issues; P.A. Flach, A.C. Kakas. Part I: The
philosophy of abduction and induction. 2. Smart inductive
generalizations are abductions; J.R. Josephson. 3. Abduction as
epistemic change: a Peircean model in Artificial Intelligence; A.
Aliseda. 4. Abduction: between conceptual richness and computational
complexity; S. Psillos. Part II: The logic of abduction and induction.
5. On relationships between induction and abduction: a logical point of
view; B. Bessant. 6. On the logic of hypothesis generation; P.A. Flach.
7. Abduction and induction from a non-monotonic reasoning perspective;
N. Lachiche. 8. Unified inference in extended syllogism; P. Wang. Part
III: The integration of abduction and induction: an Artificial
Intelligence perspective. 9. On the relations between abductive and
inductive explanation; L. Console, L. Saitta. 10. Learning, Bayesian
probability, graphical models, and abduction; D. Poole. 11. On the
relation between abductive and inductive hypotheses; A. Abe. 12.
Integrating abduction and induction in Machine Learning; R.J. Mooney.
Part IV: The integration of abduction and induction: a Logic Programming
perspective. 13. Abduction and induction combined in a metalogic
framework; H. Christiansen. 14. Learning abductive and nonmonotonic
logic programs; K. Inoue, H. Haneda. 15. Cooperation of abduction and
induction in Logic Programming; E. Lamma, et al. 16. Abductive
generalization and specialization; C. Sakama. 17. Using abduction for
induction based on bottom generalization; A. Yamamoto. Bibliography.
Index.