Artificial Intelligence - Special issue on knowledge representation
Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Autonomous Agents and Multi-Agent Systems
Preference elicitation in proxied multiattribute auctions
Proceedings of the 4th ACM conference on Electronic commerce
Measuring information transmission for team decision making
Measuring information transmission for team decision making
Comparing two approaches to dynamic, distributed constraint satisfaction
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Impact of problem centralization in distributed constraint optimization algorithms
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Production scheduling and rescheduling with genetic algorithms
Evolutionary Computation
Interactive execution monitoring of agent teams
Journal of Artificial Intelligence Research
Continuous management of airlift and tanker resources: A constraint-based approach
Mathematical and Computer Modelling: An International Journal
Using planning to train crisis decision makers
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
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We describe the Flight Manager Assistant (FMA), a prototype system, designed to support real-time management of airlift operations at the USAF Air Mobility Command (AMC). In current practice, AMC flight managers are assigned to manage individual air missions. They tend to be overburdened with associated data monitoring and constraint checking, and generally react to detected problems in a local, myopic fashion. Consequently, decisions taken for one mission can often have deleterious effects on others. FMA combines two key capabilities for overcoming these problems: (1) intelligent monitoring of incoming information (for example, weather, airport operations, aircraft status) and recognition of those situations that require corrective action and (2) dynamic rescheduling of missions in response to detected problems, both to understand the global implications of changed circumstances and to determine appropriate rescheduling actions. FMA builds on two existing technologies: an execution-monitoring framework previously applied to small-unit operations and control of robots, and a dynamic scheduling tool that is transitioning into operational use in AMC's Tanker/Airlift Control Center. FMA's dynamic-mediation module provides for collaborative mission management by different planning and execution offices by structuring communication for decision making.