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Using AI planning technology for army small unit operations

机译:利用AI规划技术为陆军小型单位运营

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In this paper, we outline the requirements of a planning and decision aid to support US Army small unit operations in urban terrain and show how AI planning technologies can be exploited in that context. The work is a rare example of a comprehensive use of AI technologies across the whole planning lifecycle, set in a realistic application in which the actual user community set the requirements. The phases involved include: ·Domain knowledge elicitation ·Rich plan representation and use ·Hierarchical Task Network Planning ·Detailed constraint management ·Goal structure-based plan monitoring ·Dynamic issue handling ·Plan repair in low and high tempo situations ·Interfaces for users with different roles ·Management of planning and execution workflow
机译:在本文中,我们概述了规划和决策援助的要求,以支持城市地形中的美国陆军小型单位行动,并展示如何在该背景下利用均衡规划技术。 这项工作是整个规划生命周期中全面使用AI技术的罕见示例,设置在实际用户社区的实际应用程序中设置要求。 所涉及的阶段包括:域名知识诱因·丰富的计划表示和使用·分层任务网络规划·详细约束管理·基于目标结构的计划监控·动态问题处理·在低温和高速度情况下计划修复·用户的接口 角色·规划和执行工作流程管理

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