Tutorial: Distributed Multi-Agent AI Systems: Scalability, Challenges, and Applications

Multi-agent systems (MASs) have emerged as a fundamental paradigm for coordinating, sharing knowledge, and collaboratively solving complex problems in distributed environments, especially with the rapid advancement of generative AI and autonomous agents. This tutorial provides a comprehensive introduction to the fundamentals of MASs, exploring state-of-the-art methodologies, architectural patterns, and key challenges in designing scalable distributed applications. In addition to the theoretical foundation, participants will engage with practical implementations using LangGraph, a widely adopted framework for building collaborative AI agent workflows.

Federal University of Minas Gerais, Computer Science Department, Belo Horizonte, Brazil

Federal University of Minas Gerais, Computer Science Department, Belo Horizonte, Brazil

College of Information and Computer Sciences, University of Massachussets, Amherst, MA, USA

Federal University of Minas Gerais, Computer Science Department, Belo Horizonte, Brazil