On the operationality/generality trade-off in explanation-based learning

Authors:
Alberto Maria Segre
Affiliations:
Department of Computer Science, Cornell University, Ithaca, NY
Venue:
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Year:
1987

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Abstract

In this paper we examine the operationalityigenerality trade-off and how it affects performance of explanation-based learning systems. Experience with the ARMS learning apprentice system, presented in the form of an empirical performance analysis, illustrates both sides of the trade-off.