Repairing Learned Knowledge Using Experience

dc.creator	Winston, Patrick H.
dc.creator	Rao, Satayjit
dc.date	2004-10-04T15:31:16Z
dc.date	2004-10-04T15:31:16Z
dc.date	1990-05-01
dc.date.accessioned	2013-10-09T02:45:57Z
dc.date.available	2013-10-09T02:45:57Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1231
dc.identifier	http://hdl.handle.net/1721.1/6553
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Explanation-based learning occurs when something useful is retained from an explanation, usually an account of how some particular problem can be solved given a sound theory. Many real-world explanations are not based on sound theory, however, and wrong things may be learned accidentally, as subsequent failures will likely demonstrate. In this paper, we describe ways to isolate the facts that cause failures, ways to explain why those facts cause problems, and ways to repair learning mistakes. In particular, our program learns to distinguish pails from cups after making a few mistakes.
dc.format	1984828 bytes
dc.format	776339 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1231
dc.title	Repairing Learned Knowledge Using Experience

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