Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling Systems (AIPS 2000)

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