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Lecture Notes in Artificial Intelligence

Knowledge Representation and Reasoning Under Uncertainty

Logic at Work

Editors: Masuch, Michael, Polos, Laszlo (Eds.)

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About this book

This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence.
Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.

Table of contents (14 chapters)

  • The role of expectations in reasoning

    Gärdenfors, Peter

    Pages 1-16

  • On logics of approximate reasoning

    Hájek, Petr

    Pages 17-29

  • Gentzen sequent calculus for possibilistic reasoning

    Liau, Churn Jung (et al.)

    Pages 31-40

  • A model of inductive reasoning

    Flach, Peter A.

    Pages 41-56

  • Automated reasoning with uncertainties

    Corrêa da Silva, Flávio S. (et al.)

    Pages 57-79

Buy this book

eBook $74.99
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • ISBN 978-3-540-48451-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA in USD
  • ISBN 978-3-540-58095-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Knowledge Representation and Reasoning Under Uncertainty
Book Subtitle
Logic at Work
Editors
  • Michael Masuch
  • Laszlo Polos
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
808
Copyright
1994
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-48451-6
DOI
10.1007/3-540-58095-6
Softcover ISBN
978-3-540-58095-9
Edition Number
1
Number of Pages
X, 242
Topics