Williamson, J. (2004) A dynamic interaction between machine learning and the philosophy of science. Minds and Machines, 14 (4). pp. 539-549. ISSN 0924-6495.
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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: | 14 Jan 2010 14:27 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/7451 (The current URI for this page, for reference purposes) |
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