Repairing Learned Knowledge Using Experience


Autoria(s): Winston, Patrick H.; Rao, Satayjit
Data(s)

04/10/2004

04/10/2004

01/05/1990

Resumo

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.

Formato

1984828 bytes

776339 bytes

application/postscript

application/pdf

Identificador

AIM-1231

http://hdl.handle.net/1721.1/6553

Idioma(s)

en_US

Relação

AIM-1231