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Rationale in planning: causality, dependencies, and decisions

Published online by Cambridge University Press:  01 November 1998

STEPHEN T. POLYAK  and
AUSTIN TATE
STEPHEN T. POLYAK
Affiliation:
Department of Artificial Intelligence, University of Edinburgh, Edinburgh, Scotland. Email: [email protected]
AUSTIN TATE
Affiliation:
Artificial Intelligence Applications Institute, University of Edinburgh, Edinburgh, Scotland. Email: [email protected]
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Abstract

Traditional approaches to plan representation have focused on the generation of a sequence of actions and orderings. Knowledge rich models, which incorporate plan rationale, provide benefits to the planning process in a number of ways. The use of rationale in planning is reviewed in terms of causality, dependencies, and decisions. Each dimension addresses practical issues in the planning process, and adds value to the resultant plan. The contribution of this paper is to explore this categorisation, and to motivate the need to explicitly record and represent rationale knowledge for situated, mixed-initiative planning systems.

Type
Review Article
Information
The Knowledge Engineering Review , Volume 13 , Issue 3 , November 1998 , pp. 247 - 262
Copyright
© 1998 Cambridge University Press

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