Elements of Scientific Inquiry

Front Cover
MIT Press, 1998 - Science - 270 pages
0 Reviews
One influential view of science focuses on the credibility that scientists attach to alternative theories and on the evolution of these credibilities under the impact of data. Interpreting credibility as probability leads to the Bayesian analysis of inquiry, which has helped us to understand diverse aspects of scientific practice. Eric Martin and Daniel N. Osherson take as their starting point a different set of intuitions about the variables to be retained in a model of inquiry. They present a theory of inductive logic that is built from the tools of logic and model theory. Their aim is to extend the mathematics of Formal Learning Theory to a more general setting and to provide a more accurate image of empirical inquiry. In particular, their theory integrates recent ideas in the theory of rational belief change. The formal results of their study illuminate aspects of scientific inquiry that are not covered by the Bayesian approach.

Exercises appear throughout the text; solutions are provided in an appendix.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

A Numerical Paradigm
17
A FirstOrder Framework for Inquiry
61
Inquiry via Belief Revision
129
A Solutions to Exercises for Chapter 1
183
B Solutions to Exercises for Chapter 2
189
Solutions to Exercises for Chapter 3
227

Other editions - View all

Common terms and phrases

References to this book

All Book Search results »

About the author (1998)

Martin is Research Associate at the University of Savoie, France.

Osherson is Professor of Psychology at Rice University.

Bibliographic information