Abduction and induction : essays on their relation and integration

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Bibliographic Information

Abduction and induction : essays on their relation and integration

edited by Peter A. Flach, Antonis C. Kakas

(Applied logic series, v. 18)

Kluwer, c2000

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Note

Includes bibliographical references (p. 281-300) and index

Description and Table of Contents

Description

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.

Table of Contents

  • 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.

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Details

  • NCID
    BA46736238
  • ISBN
    • 0792362500
  • LCCN
    00026056
  • Country Code
    ne
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Dordrecht
  • Pages/Volumes
    xix, 309 p.
  • Size
    25 cm
  • Subject Headings
  • Parent Bibliography ID
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