Probability, Objectivity and Evidence

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A01=F. C. Benenson
Author_F. C. Benenson
Category=QDTL
epistemology of science
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eq_isMigrated=2
eq_nobargain
Indifference
inductive logic
knowledge of probability
logical probability theory
objective probability analysis
Objectivity and Evidence
principle of indifference
scientific reasoning
statistical inference
subjectivism

Product details

  • ISBN 9781041108016
  • Weight: 710g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Aug 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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First published in 1984, in Probability, Objectivity and Evidence the author claims that the theory of probability provides a single, correct, analysis of probability and that the concept of probability employed in science can best be understood as that of inductive probability; to do so, it is necessary to show both how the logical relation theory of probability can be given a formulation sufficiently objective for the purposes of science, and how other attempts to explain the objective character of probability judgements are unsatisfactory.

These and related questions occupy the first five chapters of the book. The last two chapters contain more or less independent material on the principle of indifference. The author argues that in essence, the logical relation theory alone can explain how we have objective knowledge of probabilities, and so it alone provides a viable system translation of the concept of probability used in science. This is a must read for students of logic and philosophy.

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