Selecting knowledge for category learning
UNSPECIFIED (1999) Selecting knowledge for category learning. In: 21st Annual Conference of the Cognitive-Science-Society, AUG 19-21, 1999, VANCOUVER, CANADA.Full text not available from this repository.
We present a category learning experiment in which subjects faced the knowledge selection problem, i.e., they needed to use their observations to determine which prior knowledge would be useful for learning. The issue of putting prior knowledge into neural network models is reviewed, and we present a new model which addresses the knowledge selection problem. This model gives a good account of the experimental results.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||P Language and Literature
B Philosophy. Psychology. Religion > BF Psychology
|Journal or Publication Title:||PROCEEDINGS OF THE TWENTY FIRST ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY|
|Publisher:||LAWRENCE ERLBAUM ASSOC PUBL|
|Editor:||Hahn, M and Stoness, SC|
|Number of Pages:||6|
|Page Range:||pp. 218-223|
|Title of Event:||21st Annual Conference of the Cognitive-Science-Society|
|Location of Event:||VANCOUVER, CANADA|
|Date(s) of Event:||AUG 19-21, 1999|
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