Lecture Notes in Artificial Intelligence

Conditionals, Information, and Inference

International Workshop, WCII 2002, Hagen, Germany, May 13-15, 2002, Revised Selected Papers

Editors: Kern-Isberner, Gabriele, Rödder, Wilhelm, Kulmann, Friedhelm (Eds.)

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About this book

Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false — rather, a conditional “if A then B” provides a context, A, for B to be plausible (or true) and must not be confused with “A entails B” or with the material implication “not A or B.” This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The ?rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti?cial Intelligence made claims for appropriate formaltoolstohandle“generalizedrules.”Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision.

Table of contents (12 chapters)

  • What Is at Stake in the Controversy over Conditionals

    Adams, Ernest W.

    Pages 1-11

  • Reflections on Logic and Probability in the Context of Conditionals

    Calabrese, Philip G.

    Pages 12-37

  • Acceptance, Conditionals, and Belief Revision

    Dubois, Didier (et al.)

    Pages 38-58

  • Getting the Point of Conditionals: An Argumentative Approach to the Psychological Interpretation of Conditional Premises

    Bonnefon, Jean-François (et al.)

    Pages 59-64

  • Projective Default Epistemology

    Weydert, Emil

    Pages 65-85

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-540-32235-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $89.99
price for USA
  • ISBN 978-3-540-25332-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Conditionals, Information, and Inference
Book Subtitle
International Workshop, WCII 2002, Hagen, Germany, May 13-15, 2002, Revised Selected Papers
Editors
  • Gabriele Kern-Isberner
  • Wilhelm Rödder
  • Friedhelm Kulmann
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3301
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-32235-1
DOI
10.1007/b107184
Softcover ISBN
978-3-540-25332-7
Edition Number
1
Number of Pages
XII, 219
Topics