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AUTONOMY, INTELLIGENCE, AND INSTRUCTABILITY

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Author
Witten, Ian H.
MacDonald, Bruce A.
Accessioned
2008-02-26T22:38:02Z
Available
2008-02-26T22:38:02Z
Computerscience
1999-05-27
Issued
1988-10-01
Subject
Computer Science
Type
unknown
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Abstract
Instructable systems constitute an important, useful, and practically realizable step towards fully autonomous ones. In many applications people will not want machines to be self-motivated, but they will want to teach them new jobs. The user interface must permit the teacher to guide the system through tasks. The system employs samples of behavior so gathered to drive an inductive process of concept learning. Learning becomes intractable unless the teacher fulfils certain felicity conditions. The real world frequently constitutes a competitive learning environment, and instructable systems may have to guard against their knowledge and skills being corrupted by incorrect or deliberately misleading teachers. Experimental prototypes of two instructable systems are presented, one for verbally editing robot movements, the other for automating office tasks. These examples show the potential utility of approaching autonomy via instructability; the next steps are to extend the power of their learning mechanisms, and to render them robust.
Notes
We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca
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University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/30886
Uri
http://hdl.handle.net/1880/45574
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