Title :
Enhanced HTN Planning Approach for COA Generation
Author :
Yu Han Chen ; Ming Cheng
Author_Institution :
Sch. of Comput. Sci. & Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
Automatic COA (course of action) generation is important technology in command information system. According to operational requirement, the COA, which can finish operational task, improves the speed of decision making. In this paper, an enhanced HTN planning method is developed in which action decomposition method is used as plan refinements in partial-order planning. How abstract planning constructs map to the domain of actions composition is also discussed, which is based on semantic type matching. Finally, we explain the process of generation in the light of an air-ground striking scenario.
Keywords :
command and control systems; decision making; strategic planning; abstract planning; action decomposition method; air-ground striking scenario; automatic COA generation; automatic course of action generation; command information system; decision making; enhanced HTN planning approach; operational requirement; operational task; partial-order planning; plan refinements; semantic type matching; Algorithm design and analysis; Artificial intelligence; Educational institutions; Libraries; Planning; Semantics; Web services; COA; HTN; air-ground striking; partial-order planning;
Conference_Titel :
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2876-7
DOI :
10.1109/ITA.2013.70