Concept formation via Hebbian learning : the special case of prototypical causal sequences
In Peter K. Machamer & Gereon Wolters (eds.), Interpretation: Ways of Thinking About the Sciences and the Arts. University of Pittsburgh Press (2010)
|Abstract||This article has no associated abstract. (fix it)|
|Keywords||No keywords specified (fix it)|
|Categories||No categories specified (fix it)|
|External links||This entry has no external links. Add one.|
|Through your library||Configure|
Similar books and articles
Mikhail N. Zhadin (2000). Difficulties with Synaptic Theory of Learning and Memory and Possible Remedies. Behavioral and Brain Sciences 23 (4):550-551.
Kenneth R. Livingston (1998). The Case for General Mechanisms in Concept Formation. Behavioral and Brain Sciences 21 (4):581-582.
Mukesh J. Patel (1994). Concept Formation: A Complex Adaptative Approach. Theoria 9 (1):89-108.
Nagarjuna G. (2009). Collaborative Creation of Teaching Learning Sequences and an Atlas of Knowledgge. Mathematics Teaching-Research Journal Online 3 (3):23.
Nancy J. Nersessian (1988). Reasoning From Imagery and Analogy in Scientific Concept Formation. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:41 - 47.
Nagarjuna G. (2009). Collaborative Creation of Teaching-Learning Sequences and an Atlas of Knowledge. Mathematics Teaching-Research Journal Online 3 (N3):23-40.
Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. Cognitive Science 34 (7):1185-1243.
A. S. Troelstra (1985). Choice Sequences and Informal Rigour. Synthese 62 (2):217 - 227.
Edward E. Smith (2005). Rule and Similarity as Prototype Concepts. Behavioral and Brain Sciences 28 (1):34-35.
Peter F. Dominey (1997). Reducing Problem Complexity by Analogical Transfer. Behavioral and Brain Sciences 20 (1):71-72.
Sorry, there are not enough data points to plot this chart.
Added to index2010-12-22
Recent downloads (6 months)0
How can I increase my downloads?