Uncertain Inference
eBook - PDF

Uncertain Inference

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Uncertain Inference

About this book

Coping with uncertainty is a necessary part of ordinary life and is crucial to an understanding of how the mind works. For example, 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. Thisbook seeks to provide a clear exposition of these approaches within a unified framework. The principal market for the book will be students and professionals in philosophy, computer science, and AI. Among the special features of the book are a chapter on evidential probability, which has not received a basic exposition before; chapters on nonmonotonic reasoning and theory replacement, matters rarely addressed in standard philosophical texts; and chapters on Mill's methods and statistical inference that cover material sorely lacking in the usual treatments of AI and computer science.

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Yes, you can access Uncertain Inference by Henry E. Kyburg, Jr,Choh Man Teng in PDF and/or ePUB format, as well as other popular books in Philosophy & Philosophy & Ethics in Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. 1 Historical Background
  8. 2 First Order Logic
  9. 3 The Probability Calculus
  10. 4 Interpretations of Probability
  11. 5 Nonstandard Measures of Support
  12. 6 Nonmonotonic Reasoning
  13. 7 Theory Replacement
  14. 8 Statistical Inference
  15. 9 Evidential Probability
  16. 10 Semantics
  17. 11 Applications
  18. 12 Scientific Inference
  19. Names Index
  20. Index