COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Predictive Simplicity - 1st Edition - ISBN: 9780080371900, 9781483287027

Predictive Simplicity, Volume 5

1st Edition

Induction Exhum'd

Editor: George Klir
eBook ISBN: 9781483287027
Imprint: Pergamon
Published Date: 16th February 1990
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

Part I: The Evolution of the Problem. The Justification of Induction. Hume's problem. The inductivist solution. The pragmatic vindication. The dissolution of the problem. The Characterization of Induction. Goodman's new riddle and the justification of induction. A closer look at Goodman's new riddle. Part II: The Resolution of the Problem. An Account of Simplicity. Simplicity: raw. Simplicity: refined. The Explication of Induction. Induction as simplicity. Induction justified. Some Implications of Induction. Inductive logic and confirmation. The consilience of inductions. The resilience of induction. A logic of scientific discovery. Appendix: A measure of statistical simplicity. References. Name index. Subject index.


The book attempts to develop an account of simplicity in terms of testability, and to use this account to provide an adequate characterization of induction, one immune to the class of problems suggested by Nelson Goodman. It is then shown that the past success of induction, thus characterized, constitutes evidence for its future success. A qualitative measure of confirmation is developed, and this measure - along with the considerations of simplicity - is used to provide an account of the consilience of inductions, and also an inductivist account of the structure and progress of scientific theory. An appendix extends the treatment of simplicity to statistical distributions and provides a reasonable interpretation of the maximum entropy principle. Thus, this book is an attempt to characterize induction in terms of a well-defined notion of simplicity and to use that characterization as a basis of an account of empirical, and in particular, scientific reasoning.


For philosophers of science, systems scientists and graduate students in those areas.


© Pergamon 1990
16th February 1990
eBook ISBN:

Ratings and Reviews

About the Editor

George Klir

Affiliations and Expertise

State University of New York, T.J. Watson School of Engineering and Applied Sciences, Binghamton, New York, U.S.A.