Rationale in planning: causality, dependencies, and decisions

被引:4
|
作者
Polyak, ST [1 ]
Tate, A
机构
[1] Univ Edinburgh, Dept Artificial Intelligence, Edinburgh EH8 9YL, Midlothian, Scotland
[2] Univ Edinburgh, Artificial Intelligence Applicat Inst, Edinburgh EH8 9YL, Midlothian, Scotland
来源
KNOWLEDGE ENGINEERING REVIEW | 1998年 / 13卷 / 03期
关键词
D O I
10.1017/S026988899800201X
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:247 / 262
页数:16
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