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Abstract: We propose a general connectionist model of "learning by being told". Unlike models of inductive learning which rely on the slow modification of connection weights, our model of instructed learning focuses on rapid changes in the activation state of a recurrent network. We view stable distributed patterns of activation as internal representations of provided advice -- representations which can modulate the behavior of other networks. We suggest that these stable configurations of... (Update)
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BibTeX entry: (Update)
Noelle, D., and Cottrell, G. (1995). A unified connectionist model of instruction following. In Sun, R. and Alexandre, F. (Eds.) Connectionist-Symbolic Integration: From Unified to Hybrid Approaches. IJCAI, Montreal, Canada. http://citeseer.ist.psu.edu/noelle95unified.html More
@misc{ noelle95unified,
author = "D. Noelle and G. Cottrell",
title = "A unified connectionist model of instruction following",
text = "Noelle, D., and Cottrell, G. (1995). A unified connectionist model of instruction
following. In Sun, R. and Alexandre, F. (Eds.) Connectionist-Symbolic Integration:
From Unified to Hybrid Approaches. IJCAI, Montreal, Canada.",
year = "1995",
url = "citeseer.ist.psu.edu/noelle95unified.html" }
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3 Towards instructable connectionist systems - Noelle, Cottrell - 1994
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[Article contains additional citations not shown here]
Documents on the same site (http://www.cnbc.cmu.edu/~noelle/researcher/cv.html):
A Connectionist Model of Instructed Learning - Noelle (Correct)
Cv - Noelle (Correct)
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