Many large-scale natural and engineering systems can be represented as assemblies of independent agents or subsystems that engage in interactions through physical connections, communication, or both. Such interaction gives rise to collective emergent behaviors. Examples include the synchronized flight of birds, the schooling behavior of fish, blackouts in electric power grids, cooperation within mobile robot teams, and information fusion in sensor networks. These emergent behaviors are shaped by the characteristics of the individual agents, the nature of their interconnections, and, most importantly, the overarching pattern of interactions among all agents.
This course delves into the modeling, analysis, and design of multi-agent network dynamics. Tailored for graduate students with a background in dynamical systems, it explores the intriguing domains of complex networks and collective phenomena.
The course image was generated by DALL·E using as prompt the above description.
This course delves into the modeling, analysis, and design of multi-agent network dynamics. Tailored for graduate students with a background in dynamical systems, it explores the intriguing domains of complex networks and collective phenomena.
The course image was generated by DALL·E using as prompt the above description.
- Docente: Giacomo Baggio