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.
STEPHEN T. POLYAK, AUSTIN TATE. 1998. Rationale in planning: causality, dependencies, and decisions. The Knowledge Engineering Review. 13: doi: 10.1017/S026988899800201X
STEPHEN T. POLYAK, AUSTIN TATE. 1998. Rationale in planning: causality, dependencies, and decisions. The Knowledge Engineering Review. 13: doi: 10.1017/S026988899800201X
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.
STEPHEN T. POLYAK, AUSTIN TATE. 1998. Rationale in planning: causality, dependencies, and decisions. The Knowledge Engineering Review. 13: doi: 10.1017/S026988899800201X
STEPHEN T. POLYAK, AUSTIN TATE. 1998. Rationale in planning: causality, dependencies, and decisions. The Knowledge Engineering Review. 13: doi: 10.1017/S026988899800201X
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STEPHEN T. POLYAK, AUSTIN TATE. 1998. Rationale in planning: causality, dependencies, and decisions. The Knowledge Engineering Review. 13: doi: 10.1017/S026988899800201X
STEPHEN T. POLYAK, AUSTIN TATE. 1998. Rationale in planning: causality, dependencies, and decisions. The Knowledge Engineering Review. 13: doi: 10.1017/S026988899800201X
