Practical planning: extending the classical AI planning paradigm
Practical planning: extending the classical AI planning paradigm
Maintaining knowledge about temporal intervals
Communications of the ACM
The ARPA-Rome Knowledge-Based Planning and Scheduling Initiative
IEEE Expert: Intelligent Systems and Their Applications
User-Centric Software Engineering
IEEE Expert: Intelligent Systems and Their Applications
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Conversational Case-Based Reasoning
Applied Intelligence
Managing temporal uncertainty through waypoint controllability
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
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We integrated three mature AI reasoning systems and several legacy military systems in order to provide human planners with advanced capabilities in a military planning domain. The integration demonstrates the operation of a diverse set of AI applications that present a unified system to a human planner in a realistic and meaningful context. We began with an operational planning support system and integrated into it AI components that filled technology gaps. These components, drawn from AI research laboratories, were a generative planner, a temporal reasoner and plan visualizer, and a knowledge-based plan critiquer. The resulting system uses a shared representation to support plan authoring, consistency checking, feasibility analysis, replanning, and visibility into the plan. The support provided is flexible and user controlled. We describe lessons learned from the simultaneous application and integration of mature AI research software, and for individual system components, primarily as they relate to the representation of plans.