STAN4: A Hybrid Planning Strategy Based on Subproblem Abstraction
STAN4: A Hybrid Planning Strategy Based on Subproblem Abstraction
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STAN4：基于子问题抽象的混合规划策略
DOI：
10.1609/aimag.v22i3.1577
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
D. Long
中科院分区：
文献类型：
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作者：
M. Fox;D. Long
规划域通常以子问题为特征，例如路线规划和资源处理。使用静态域分析技术，我们已经能够确定某些常见的子问题内的规划域，使之有可能抽象这些子问题的总体目标的规划师和部署专门的技术来处理它们的方式集成到更广泛的规划活动。使用两个这样的subsolvers我们的混合规划器，stan4，成功地参加了第五届国际会议人工智能规划和调度（AIPS'00）规划比赛。
Planning domains often feature subproblems such as route planning and resource handling. Using static domain analysis techniques, we have been able to identify certain commonly occurring subproblems within planning domains, making it possible to abstract these subproblems from the overall goals of the planner and deploy specialized technology to handle them in a way integrated with the broader planning activities. Using two such subsolvers our hybrid planner, stan4, participated successfully in the Fifth International Conference on Artificial Intelligence Planning and Scheduling (AIPS'00) planning competition.