A rule-based task generation system

Authors:
D. H. Sleeman
Affiliations:
University of Leeds, U.K.
Venue:
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Year:
1981

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Abstract

Considerable attention has been given to creating hypotheses which cover a set of instances. However, todate the related problem of generating a task to refine the hypothesis set has so far received very little attention. A task-generator has been implemented for a rule-based modelling system. LMS, Leeds Modelling System. Here we discuss how an analogous task-generator could be used with systems which do not constrain their hypothesis-space as strongly as LMS.