Swarm Performance of Heterogeneous Multi-Agent Systems Across Scales

Explore the complex dynamics of heterogeneous multi-agent systems in this 57-minute lecture by Benjamin Seibold from Temple University. Delve into the fascinating interplay between micro-scale agent behavior and macro-scale swarm performance, with a focus on real-world applications in transportation systems. Examine intriguing cases of emergent collective behavior in various contexts, including vehicular traffic, disaster relief logistics, and mixed human-robotic groups. Investigate how heterogeneities in agent types and behaviors impact system-level outcomes and individual benefits. Analyze the effects of automation and connectivity on urban traffic flow energy consumption, and consider the implications of unevenly distributed advanced vehicles. Compare different performance metrics, such as survival-of-the-fittest versus support-the-weakest strategies, to gain insights into optimizing swarm behavior. Recorded as part of IPAM's Mathematical Foundations for Equity in Transportation Systems Workshop, this talk offers valuable perspectives on understanding and characterizing the complex relationships between agent strategies and emergent swarm performance across various scales and scenarios.