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Learning in autonomous robots

Published online by Cambridge University Press:  07 July 2009

Henry Hexmoor
Affiliation:
226 Bell Hall, Department of Computer Science, SUNY at Buffalo, Buffalo, NY 14260. USA. Email:hexmoor@cs.buffalo.edu
Lisa Meeden
Affiliation:
Computer Science Program, Swarthmore College, 500 College Ave, Swarthmore, PA 19081, USA. Email:meeden@cs.swarthmore.edu

Extract

The definitions above, separated by ten years, represent two very different conceptions of learning. For Simon learning depends on an internal change in representation, and for Kaelbling it is instead measured in terms of an external change in behaviour. Furthermore, Kaelbling's focus on the situatedness of the learning system being embedded in its environment reflects the recent experience gained by much direct experimentation with physical robots.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 1996

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