A dynamic interaction between machine learning and the philosophy of science

Minds and Machines 14 (4):539-549 (2004)
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
Keywords Computer Science   Philosophy of Mind   Artificial Intelligence   Systems Theory, Control   Interdisciplinary Studies
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DOI 10.1023/B:MIND.0000045990.57744.2b
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