---
title: "A Rule-Based Task Generation System"
authors:
  - "Derek H. Sleeman"
doi: ""
url: "https://ijcai.org/proceedings/1981/168"
pdf: "https://ijcai.org/proceedings/1981/0168.pdf"
venue: "Proceedings of the Seventh International Joint Conference on Artificial Intelligence"
year: 1981
pages: "882-886"
track: "Expert Systems"
keywords:
---

# A Rule-Based Task Generation System

Derek H. Sleeman

*Proceedings of the Seventh International Joint Conference on Artificial Intelligence*, pages 882-886.

## Abstract

Considerable attention has been given to creating hypotheses which cover a set of instances. However, todate the related problem of generating a .t..a.il 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 n.lLt.. constrain their hypothesis-space as strongly as LMS.