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)
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:||22 Jun 2015 09:26|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/7451 (The current URI for this page, for reference purposes)|