by Austin Tate, John Levine, Peter Jarvis, Jeff Dalton
Poster Paper in the Proceedings of the Artificial Intelligence Planning and Scheduling Systems Conference (AIPS-2000
http://www.aiai.ed.ac.uk/~oplan/documents/2000/00-aips.pdf
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Abstract:
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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