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Information, Inference and Decision

  • Günter Menges

Part of the Theory and Decision Library book series (TDLU, volume 1)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Objective Theory of Inductive Behaviour

  3. Problems of Inference

  4. Probability, Information and Utility

    1. Front Matter
      Pages 111-111
    2. Minaketan Behara
      Pages 145-154
  5. Semantic Information

    1. Front Matter
      Pages 165-165
    2. Heinz J. Skala
      Pages 181-188
  6. Back Matter
    Pages 189-196

About this book

Introduction

Under the title 'Information, Inference and Decision' this volume in the Theory and Decision Library presents some papers on issues from the borderland of statistical inference philosophy and epistemology, written by statisticians and decision theorists who belonged or are allied to the former Saarbriicken school of statistical decision theory. In the first part I make an attempt to outline an objective theory of inductive behaviour, on the basis of R. A. Fisher's statistical inference philosophy, on the one hand, and R. Carnap's inductive logic, on the other. A special problem arising in the context of the new theory, viz., the problem of vagueness of concepts (in particular in the social sciences) is treated separately by H. Skala and myself. B. Leiner has contributed some biographical and bibliographical notes on the objective theory of inductive behaviour. Part II is concerned with inference philosophy. D. A. S. Fraser, the founder of structural inference theory, characterizes and compares some inference philosophies, and discusses his own and the arguments of the critics of his structural theory. In my opinion, Fraser's structural infer­ ence theory is suited to complete Fisher's inference philosophy in some essential points, if not to replace it. An interesting task for future re­ search work is to establish the connection between Fraser's theory and Carnap's ideas in the framework of an objective theory of inductive behaviour.

Keywords

behavior decision theory information logic modeling

Editors and affiliations

  • Günter Menges
    • 1
  1. 1.University of HeidelbergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-010-2159-3
  • Copyright Information Springer Science+Business Media B.V. 1974
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-277-0423-8
  • Online ISBN 978-94-010-2159-3
  • Buy this book on publisher's site