50 Years of Successful Predictive Modeling Should Be Enough: Lessons for Philosophy of Science
Year: 2002
Type: article
Abstract: Our aim in this paper is to bring the woefully neglected literature on predictive modeling to bear on some central questions in the philosophy of science. The lesson of this literature is straightforward: For a very wide range of prediction problems, statistical prediction rules (SPRs), often rules that are very easy to implement, make predictions than are as reliable as, and typically more reliable than, human experts. We will argue that the success of SPRs forces us to reconsider our views about what is involved in understanding, explanation, good reasoning, and about how we ought to do philosophy of science.
Source: Philosophy of Science
DOI: 10.1086/341846
Authors: Michael A. Bishop, J. D. Trout
Institutions: Iowa State University, Loyola University Chicago
Language: English
Subfield: History and Philosophy of Science
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2148783139