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

fYear

2013

fDate

16-17 Nov. 2013

Firstpage

272

Lastpage

274

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Applications (ITA), 2013 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4799-2876-7

Type

conf

DOI

10.1109/ITA.2013.70

Filename

6709986