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Anytime heuristic search in temporal HTN planning for developing incident action plans

机译：随时在时空HTN计划中进行启发式搜索以制定事件行动计划

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摘要

Extreme events challenge emergency managers' decision making capabilities of developing unified action plans to ensure effective coordination for multiple responding agencies. In this paper, we present a novel HTN planner, called XEPlanner, aimed at working in dynamic emergency response environment with critical time constraints. By understanding incident action plans developing process and characteristics of flood controlling, this paper proposes a set of planning requirements as the guidance for designing a domain specific HTN planner, which challenge the current known HTN planners. Based on the classical AI planning technologies, our planner is designed and implemented for adapting to the application domain. It follows the anytime principles: the first feasible plan can be quickly produced and the quality of the plans is improved as more time is available. Additionally, a set of heuristics for selecting search nodes is proposed for taking into account preferences of emergency managers during the planning process. Moreover, the priorities of incident objectives can be handled effectively. Our experimental results demonstrate that our planner satisfies all the proposed planning requirements and has advantages when it's applied in flood evacuation domain.
机译：极端事件挑战了应急管理人员制定统一行动计划的决策能力，以确保对多个响应机构的有效协调。在本文中，我们提出了一种新颖的HTN规划器，称为XEPlanner，旨在在具有关键时间限制的动态紧急响应环境中工作。通过了解事故行动计划的制定过程和防洪特性，本文提出了一组计划要求，作为设计特定领域的HTN规划器的指南，这对当前已知的HTN规划器提出了挑战。基于经典的AI规划技术，我们的规划器是为适应应用领域而设计和实现的。它遵循随时随地的原则：第一个可行的计划可以快速生成，并且随着可用时间的增加，计划的质量也得到提高。另外，提出了一组用于选择搜索节点的试探法，以在计划过程中考虑应急管理人员的偏好。而且，事件目标的优先顺序可以得到有效处理。我们的实验结果表明，我们的规划师可以满足所有拟议的规划要求，并且在将其应用于洪水疏散领域时具有优势。

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  • 来源
    《AI communications》 |2012年第4期|p.321-342|共22页
  • 作者

    Pan Tang; Hongwei Wang; Chao Qi; Jian Wang;

  • 作者单位

    Institute of Systems Engineering and State Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China,School of Emergency Management, Jinan University, Guangzhou, China;

    Institute of Systems Engineering and State Key Laboratory of Image Processing and Intelligent Control of Ministry of Education, Huazhong University of Science and Technology, Wuhan, 430074 China;

    Institute of Systems Engineering and State Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China;

    Institute of Systems Engineering and State Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    extreme events; emergency response; HTN planning; anytime heuristic search; priority;

    机译：极端事件;紧急响应;HTN规划;随时进行启发式搜索;优先;

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