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A Dynamic Interaction Between Machine Learning and the Philosophy of Science

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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.

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  1. Department of Philosophy, King's College London, Strand, London, WC2R 2LS, UK

    Jon Williamson

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Williamson, J. A Dynamic Interaction Between Machine Learning and the Philosophy of Science. Minds and Machines 14, 539–549 (2004). https://doi.org/10.1023/B:MIND.0000045990.57744.2b

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