Information theory and representation in associative word learning

Brendan Burns, Charles Sutton, Clayton Morrison, Paul Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the Third International Workshop on Epigenetic Robotics
Number of pages7
Publication statusPublished - 2003

Fingerprint

Dive into the research topics of 'Information theory and representation in associative word learning'. Together they form a unique fingerprint.

Cite this