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

机译:紧急决策不可控制持续时间下的资源约束分层任务网络规划

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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.
机译:紧急决策面临问题,其中协调应对应急目标的紧急任务受到紧急时间和有限的资源。无法控制的持续时间的行动使问题变得更加复杂。本文提出了一种在紧急决策不可控制的持续时间下的新型资源受限的阶级托斯网络规划方法。目标是生成具有约束资源的动态可控计划,并通过动态执行计划。应考虑紧急决策,消费资源和可重复使用资源中最一般的资源类别中的两个。首先,将定时初始文字扩展到存在定时资源,并转换了定时文字的约束,以对规划中的动作施加限制。其次,探索一个机制来分级地继承子组织在分层任务网络规划期间由子组织继承的资源约束。第三,分别检查两类资源限制。通过添加优先约束来解决潜在的资源冲突。最后,进行实验研究以评估规划方法。结果展示了应急决策规划方法的有效性和效率。

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