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 learning
Keywords Artificial Intelligence  Connectionism  Epistemology  Learning Theory
Categories (categorize this paper)
DOI 10.1080/00455091.1990.10717218
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history
Request removal from index
Download options
Our Archive


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 28,182
Through your library
References found in this work BETA
Defeasible Reasoning.John Pollock - 1987 - Cognitive Science 11 (4):481-518.
Parallel Computation and the Mind-Body Problem.Paul R. Thagard - 1986 - Cognitive Science 10 (3):301-18.

Add more references

Citations of this work BETA
Societies of Minds: Science as Distributed Computing.P. Thagard - 1993 - Studies in History and Philosophy of Science Part A 24 (1):49-67.
Philosophical and Computational Models of Explanation.Paul R. Thagard - 1991 - Philosophical Studies 64 (October):87-104.

Add more citations

Similar books and articles

Monthly downloads

Added to index

2009-01-28

Total downloads

70 ( #75,403 of 2,172,054 )

Recent downloads (6 months)

17 ( #18,273 of 2,172,054 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Order:
There  are no threads in this forum
Nothing in this forum yet.

Other forums