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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 currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:7451)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (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 UTC
Last Modified: 01 Aug 2019 10:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7451 (The current URI for this page, for reference purposes)
Williamson, Jon: https://orcid.org/0000-0003-0514-4209
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