LEARNING INDIRECT ACTIONS IN COMPLEX DOMAINS: ACTION SUGGESTIONS FOR AIR TRAFFIC CONTROL

DOI10.1142/S0219525909002283zbMath1175.93168OpenAlexW2112664772MaRDI QIDQ3644889

Kagan Tumer, Adrian Agogino

Publication date: 13 November 2009

Published in: Advances in Complex Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219525909002283

zbMATH Keywords

multiagent learningair traffic controllearning indirect actionssuggestion agents

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Learning and adaptive systems in artificial intelligence (68T05) Application models in control theory (93C95) Traffic problems in operations research (90B20)

Cites Work

• Conflict resolution for air traffic management: a study in multiagent hybrid systems
• OPTIMAL PAYOFF FUNCTIONS FOR MEMBERS OF COLLECTIVES

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