Propositional learning is a useful research heuristic but it is not a theoretical algorithm
Behavioral and Brain Sciences 32 (2):199-200 (2009)
| Abstract | This article has no associated abstract. (fix it) | |||||||||
| Keywords | No keywords specified (fix it) | |||||||||
| Categories | ||||||||||
| Options |
|
|||||||||
Download options| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,631 |
| External links |
 |
| Through your library | Configure |
Similar books and articlesStefan Ziemski (1975). The Typology of Scientific Research. Journal for General Philosophy of Science 6 (2):276-291.
Yehoshua Sagiv (1979). An Algorithm for Inferring Multivalued Dependencies That Works Also for a Subclass of Propositional Logic. Dept. Of Computer Science, University of Illinois at Urbana-Champaign.
Zhuran You & A. G. Rud (2010). A Model of Dewey's Moral Imagination for Service Learning: Theoretical Explorations and Implications for Practice in Higher Education. Education and Culture 26 (2).
Charles X. Ling (1995). Introducing New Predicates to Model Scientific Revolution. International Studies in the Philosophy of Science 9 (1):19 – 36.
Ulrike Hahn, John-Mark Frost & Greg Maio (2005). What's in a Heuristic? Behavioral and Brain Sciences 28 (4):551-552.
Yao-Tung Hsu, Tzung-Pei Hong & Shian-Shyong Tseng (2001). Learning Concepts by Arranging Appropriate Training Order. Minds and Machines 11 (3):399-415.
Kuo-Chin Chang, Tzung-Pei Hong & Shian-Shyong Tseng (1996). Machine Learning by Imitating Human Learning. Minds and Machines 6 (2):203-228.
Analytics
Monthly downloads |
Added to index2009-04-24Total downloads24 ( #51,534 of 548,973 )Recent downloads (6 months)1 ( #63,511 of 548,973 )How can I increase my downloads? |
My notes
Discussion
