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Probability and Inductive Logic

Probability and Inductive Logic

Probability and Inductive Logic

Antony Eagle, University of Adelaide
January 2025
Paperback
9781009210195
$22.00
USD
Paperback
USD
Hardback

    Reasoning from inconclusive evidence, or 'induction', is central to science and any applications we make of it. For that reason alone it demands the attention of philosophers of science. This element explores the prospects of using probability theory to provide an inductive logic: a framework for representing evidential support. Constraints on the ideal evaluation of hypotheses suggest that the overall standing of a hypothesis is represented by its probability in light of the total evidence, and incremental support, or confirmation, indicated by the hypothesis having a higher probability conditional on some evidence than it does unconditionally. This proposal is shown to have the capacity to reconstruct many canons of the scientific method and inductive inference. Along the way, significant objections are discussed, such as the challenge of inductive scepticism, and the objection that the probabilistic approach makes evidential support arbitrary.

    Product details

    January 2025
    Paperback
    9781009210195
    102 pages
    229 × 152 × 5 mm
    0.161kg
    Not yet published - available from February 2025

    Table of Contents

    • Introduction and overview
    • 1. Induction and inductive logic
    • 2. Probability and evidential support
    • 3. Bayesian confirmation theory
    • 4. Uniqueness and the problem of the priors
    • References.
    Resources for
    Type
    Supplementary Material
    Size: 129.57 KB
    Type: application/pdf