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Uncertain Inference

  • Pages : XII-298
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  • Support : Print
  • Edition : Original
  • Ville : Cambridge, UK; New York
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  • ISBN : 0521800641
  • URL : Lien externe
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  • Date de création : 22-01-2014
  • Dernière mise à jour : 22-01-2014

Résumé :

Anglais

Coping with uncertainty is a necessary part of ordinary life and is crucial to an understanding of how the mind works. It is a vital element in developing artificial intelligence that will not be undermined by its own rigidities. There have been many approaches to the problem of uncertain inference, ranging from probability to inductive logic to nonmonotonic logic. This book seeks to provide a clear exposition of these approaches within a unified framework. – Table of contents : Preface. – 1. Historical background; 2. First order logic; 3. The probability calculus; 4. Interpretations of probability; 5. Nonstandard measures of support; 6. Nonmonotonic reasoning; 7. Theory replacement; 8. Statistical inference; 9. Evidential probability; 10. Semantics; 11. Applications; 12. Scientific inference.

 

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Dernière mise à jour : Samedi 04 décembre 2021