Multi-Agent Systems

3 units

This course introduces the foundations and methods of multi-agent systems, with a focus on how autonomous agents can plan, coordinate, and reason effectively in shared environments. Core topics include distributed problem solving, cooperative planning, task and resource allocation, and algorithms for coordination under uncertainty. The course also examines emerging directions in agentic AI, highlighting how large language models (LLMs) and other AI techniques can enhance multi-agent reasoning, communication, and collaboration.