Knowledge Representation and Reasoning Under Uncertainty

Released on by Michael Masuch
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  • Knowledge Representation and Reasoning Under Uncertainty Book Detail

  • Author : Michael Masuch
  • Release Date : 1994-06-28
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 252
  • ISBN 13 : 9783540580959
  • File Size : 44,44 MB
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Knowledge Representation and Reasoning Under Uncertainty by Michael Masuch PDF Summary

Book Description: 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.

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