Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
In search of the future of air traffic control
IEEE Spectrum
Satisficing Games and Decision Making: With Applications to Engineering and Computer Science
Satisficing Games and Decision Making: With Applications to Engineering and Computer Science
A static RAM says goodbye to data errors
IEEE Spectrum
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Autonomous agents for air-traffic deconfliction
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Evolving distributed agents for managing air traffic
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Distributed agent-based air traffic flow management
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Regulating air traffic flow with coupled agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Decentralized algorithms for collision avoidance in airspace
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
AGENTFLY: a multi-agent airspace test-bed
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
Evaluating evolution and monte carlo for controlling air traffic flow
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
A decentralized approach to multi-robot formation initialization
International Journal of Robotics and Automation
A multiagent approach to managing air traffic flow
Autonomous Agents and Multi-Agent Systems
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The next generation of air traffic control will require automated decision support systems in order to meet safety, reliability, flexibility, and robustness demands in an environment of steadily increasing air traffic density. Automation is most readily implemented in free flight, the segment of flight between airports. In this environment, centralized control is impractical, and on-board distributed decision making is required. To be effective, such decision making must be cooperative. Satisficing game theory provides a theoretical framework in which autonomous decision makers may coordinate their decisions. The key feature of the theory is that, unlike conventional game theory which is purely egotistic in its structure, it provides a natural mechanism for decision makers to form their preferences by taking into consideration the preferences of others. In this way, a controlled form of conditional altruism is possible, such that agents are able to compromise so that every decision maker receives due consideration in a group environment. Simulations demonstrate that reliable performance can be achieved with densities on the order of 50 planes per ten thousand square miles.