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Philosophy and machine learning
Canadian Journal of Philosophy 20 (2):261-76 (1990)
Abstract
This article discusses the philosophical relevance of recent computational work on inductive inference being conducted in the rapidly growing branch of artificial intelligence called machine learningAuthor's Profile
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Citations of this work
Societies of minds: Science as distributed computing.Paul Thagard - 1991 - Studies in History and Philosophy of Science Part A 24 (1):49-67.
Humanistic interpretation and machine learning.Juho Pääkkönen & Petri Ylikoski - 2021 - Synthese 199:1461–1497.
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory.Falco J. Bargagli Stoffi, Gustavo Cevolani & Giorgio Gnecco - 2022 - Minds and Machines 32 (1):13-42.
Philosophical and computational models of explanation.Paul Thagard - 1991 - Philosophical Studies 64 (October):87-104.
Understanding the Role of Objectivity in Machine Learning and Research Evaluation.Saleha Javed, Tosin P. Adewumi, Foteini Simistira Liwicki & Marcus Liwicki - 2021 - Philosophies 6 (1):22.
References found in this work
On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
Change in View: Principles of Reasoning, Cambridge, Mass.Gilbert Harman - 1986 - Behaviorism 16 (1):93-96.
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