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Belief, Evidence, and Uncertainty

Problems of Epistemic Inference

  • Prasanta S. Bandyopadhyay
  • Gordon Brittan Jr.
  • Mark L. Taper

Part of the SpringerBriefs in Philosophy book series (BRIEFSPHILOSOPH)

Also part of the Philosophy of Science book sub series (BRIEFSPHILOSC)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Clarification, Illustration, and Defense of the Confirmation/Evidence Distinction

    1. Front Matter
      Pages 1-1
    2. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 3-13
    3. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 15-36
    4. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 37-48
    5. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 49-60
  3. Comparisons with Other Philosophical Accounts of Evidence

    1. Front Matter
      Pages 61-61
    2. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 63-72
    3. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 73-91
    4. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 93-107
    5. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 109-121
  4. Applications of the Confirmation/Evidence Distinction to Epistemological Puzzles

    1. Front Matter
      Pages 123-123
    2. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 125-141
    3. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 143-151
    4. Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper
      Pages 153-156
  5. Back Matter
    Pages 157-178

About this book

Introduction

This work breaks new ground by carefully distinguishing the concepts of belief, confirmation, and evidence and then integrating them into a better understanding of personal and scientific epistemologies. It outlines a probabilistic framework in which subjective features of personal knowledge and objective features of public knowledge have their true place. It also discusses the bearings of some statistical theorems on both formal and traditional epistemologies while showing how some of the existing paradoxes in both can be resolved with the help of this framework.
This book has two central aims: First, to make precise a distinction between the concepts of confirmation and evidence and to argue that failure to recognize this distinction is the source of certain otherwise intractable epistemological problems. The second goal is to demonstrate to philosophers the fundamental importance of statistical and probabilistic methods, at stake in the uncertain conditions in which for the most part we lead our lives, not simply to inferential practice in science, where they are now standard, but to epistemic inference in other contexts as well. Although the argument is rigorous, it is also accessible. No technical knowledge beyond the rudiments of probability theory, arithmetic, and algebra is presupposed, otherwise unfamiliar terms are always defined and a number of concrete examples are given. At the same time, fresh analyses are offered with a discussion of statistical and epistemic reasoning by philosophers. This book will also be of interest to scientists and statisticians looking for a larger view of their own inferential techniques.
The book concludes with a technical appendix which introduces an evidential approach to multi-model inference as an alternative to Bayesian model averaging.

Keywords

Bayes Theorem Bayesianism confirmation theory evidentialism likelihood ratios scientific inference

Authors and affiliations

  • Prasanta S. Bandyopadhyay
    • 1
  • Gordon Brittan Jr.
    • 2
  • Mark L. Taper
    • 3
  1. 1.Montana State UniversityBozemanUSA
  2. 2.Montana State UniversityBozemanUSA
  3. 3.Montana State UniversityBozemanUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-27772-1
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Religion and Philosophy
  • Print ISBN 978-3-319-27770-7
  • Online ISBN 978-3-319-27772-1
  • Series Print ISSN 2211-4548
  • Series Online ISSN 2211-4556
  • Buy this book on publisher's site