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Information Theory and Representation in Associative Word Learning

Burns, Brendan and Sutton, Charles and Morrison, Clayton and Cohen, Paul (2003) Information Theory and Representation in Associative Word Learning. [Conference Paper]

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Abstract

A significant portion of early language learning can be viewed as an associative learning problem. We investigate the use of associative language learning based on the principle that words convey Shannon information about the environment. We discuss the shortcomings in representation used by previous associative word learners and propose a functional representation that not only denotes environmental categories, but serves as the basis for activities and interaction with the environment. We present experimental results with an autonomous agent acquiring language.

Item Type:Conference Paper
Keywords:associative language learning, information theory, Multi-Stream Dependency Detection, autonomous agent
Subjects:Computer Science > Machine Learning
Computer Science > Artificial Intelligence
Computer Science > Robotics
ID Code:3331
Deposited By:Prince, Dr Christopher G.
Deposited On:12 Feb 2004
Last Modified:11 Mar 2011 08:55

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