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  3. Uncertain Inference
  • Cited by 91
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    • Publisher:
      Cambridge University Press
      Publication date:
      December 2009
      August 2001
      ISBN:
      9780511612947
      9780521800648
      9780521001014
      DOI:
      https://doi.org/10.1017/CBO9780511612947
      Dimensions:
      (253 x 177 mm)
      Weight & Pages:
      0.711kg, 312 Pages
      Dimensions:
      (255 x 179 mm)
      Weight & Pages:
      0.56kg, 312 Pages
      • Subjects:
      Philosophy of Science, Computer Science, Philosophy, Computing: General Interest
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    Subjects:
    Philosophy of Science, Computer Science, Philosophy, Computing: General Interest
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    Book description

    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.

    Reviews

    "Overall this book is one of the most thorough and objective treatments of inductive reasoning that I have encountered. It is clearly written with well chosen examples and both the scope and depth of the material covered is impressive...an excellent postgraduate textbook." Mathematical Reviews

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