Using AI Planning Technology for Army Small Unit Operations

Austin Tate, John Levine, Peter Jarvis, and Jeff Dalton

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.


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