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. |
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: | Divisions > Division of Arts and Humanities > School of Culture and Languages |
| Depositing User: | Jon Williamson |
| Date Deposited: | 15 Sep 2008 17:13 UTC |
| Last Modified: | 05 Nov 2024 09:39 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/7451 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Williamson, Jon.
| Creator's ORCID: |
 https://orcid.org/0000-0003-0514-4209
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