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 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.
|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)|