Resource-constrained Hierarchical Task Network planning under uncontrollable durations for emergency decision-making

被引:5
|
作者
Zhao, Peng [2 ]
Qi, Chao [1 ,2 ,3 ]
Liu, Dian [2 ,3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Management, Wuhan, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Automat, Wuhan, Hubei, Peoples R China
[3] Huazhong Univ Sci & Technol, MOE Key Lab Image Proc & Intelligent Control, Wuhan, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Hierarchical Task Network planning; resource reasoning; uncontrollable durations; emergency decision-making;
D O I
10.3233/JIFS-17681
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Emergency decision-making confronts a problem where emergency tasks coordinating to achieve emergency objectives are subject to urgent time and limited resources. Actions with uncontrollable durations make the problem more complicated. This paper proposes a novel resource-constrained HierarchicalTask Network planning approach under uncontrollable durations for emergency decision-making. The objective is to generate a dynamically controllable plan with constrained resources and execute the plan via scheduling actions dynamically. Two of the most general categories of resources in emergency decision-making, consumable resources and reusable resources, are considered. First, timed initial literals are extended to present timed resources and the constraints of timed literals are transformed to impose restrictions on actions in planning. Second, a mechanism is explored to hierarchically inherit the resource constraints of compound tasks by subtasks during Hierarchical Task Network planning. Third, two categories of resource constraints are checked, respectively. Potential resource conflicts are resolved via adding precedence constraints. Finally, experimental studies are conducted to evaluate the planning approach. The results demonstrate the effectiveness and efficiency of the planning approach for emergency decision-making.
引用
收藏
页码:3819 / 3834
页数:16
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