Philosophy and machine learning

Canadian Journal of Philosophy 20 (2):261-76 (1990)
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
 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
PhilPapers Archive

Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 24,433
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA
John Pollock (1987). Defeasible Reasoning. Cognitive Science 11 (4):481-518.

Add more references

Citations of this work BETA
P. Thagard (1993). Societies of Minds: Science as Distributed Computing. Studies in History and Philosophy of Science Part A 24 (1):49-67.

Add more citations

Similar books and articles

Monthly downloads

Added to index


Total downloads

49 ( #99,373 of 1,925,039 )

Recent downloads (6 months)

14 ( #57,804 of 1,925,039 )

How can I increase my downloads?

My notes
Sign in to use this feature

Start a new thread
There  are no threads in this forum
Nothing in this forum yet.