Agent-based Modelling and Simulation in Air Transport

Introduction:

• Agents and Multiagent systems. Agent-based modelling architectures. Examples from air transportation.

• Emergence in Multiagent systems. Agent-based simulation. Agent-based modeling and simulation tools.

• Agent-based coordination, planning, and scheduling in air transportation.

• Nature-inspired approaches to solve optimization problems. Swarm intelligence.

• Adaptive behavior and learning in agent-based systems.

• Collaborative decision making in air transportation. Negotiation, auctions, game-theoretic approaches.

• Agent-based model analysis: sensitivity, uncertainty, robustness. Validation of agent-based models.

65% of the final grade for the course is the grade for a group assignment; 35% is the grade for the individual defense.