Probability, Objectivity and Evidence

by F. C. Benenson

Overview

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.   

Product Details

ISBN-13:	9781041108016
Publisher:	Taylor & Francis
Publication date:	08/29/2025
Series:	Routledge Revivals
Pages:	296
Product dimensions:	6.12(w) x 9.19(h) x (d)

Table of Contents

Acknowledgements Introduction 1. Problems and Aims 2. Our Knowledge of Probabilities 3. Specificatoty Evidence and Technology 4. Revising Probability Judgements 5. Statistical Probabilities 6. The Principle of Indifference and the Classical Theory of Probability 7. Objections to the Principle of Indifference Bibliography Index