A dynamic interaction between machine learning and the philosophy of science

Williamson, Jon (2004) A dynamic interaction between machine learning and the philosophy of science. Minds and Machines, 14 (4). pp. 539-549. ISSN 0924-6495. (The full text of this publication is not available from this repository)

The full text of this publication is not available from this repository. (Contact us about this Publication)

Abstract

The relationship between machine learning and the philosophy of science can be classed as a dynamic interaction: a mutually beneficial connection between two autonomous fields that changes direction over time. I discuss the nature of this interaction and give a case study highlighting interactions between research on Bayesian networks in machine learning and research on causality and probability in the philosophy of science.

Item Type: Article
Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
Divisions: Faculties > Humanities > School of European Culture and Languages
Depositing User: Jon Williamson
Date Deposited: 15 Sep 2008 17:13
Last Modified: 02 Jun 2014 08:26
Resource URI: http://kar.kent.ac.uk/id/eprint/7451 (The current URI for this page, for reference purposes)
  • Depositors only (login required):