Artificial Intelligence - Special issue on knowledge representation
Semantics for hierarchical task-network planning
Semantics for hierarchical task-network planning
Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Scheduling Space–Ground Communications for the Air Force Satellite Control Network
Journal of Scheduling
The EO-1 Autonomous Science Agent
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
MAPGEN: Mixed-Initiative Planning and Scheduling for the Mars Exploration Rover Mission
IEEE Intelligent Systems
Leap before you look: an effective strategy in an oversubscribed scheduling problem
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Branching and pruning: an optimal temporal POCL planner based on constraint programming
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Planning through stochastic local search and temporal action graphs in LPG
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Texture-based heuristics for scheduling revisited
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Automating Deep Space Network scheduling and conflict resolution
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
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We describe the Deep Space Network's scheduling problem based on a user requirement language. The problem is difficult to encode by almost all existing planning and scheduling systems. We describe how it can be mapped into a system that supports metric resources, durative action, simple temporal network constraints, and task hierarchy among other language features. We also describe how we adapted a local search scheduler to generate schedules. However, we argue that the application will best serve the users if local search is combined with systematic search. We describe how an implemented systematic search can be effectively applied to rescheduling.