Agentic AI: How can multi-agent systems benefit your business?
This session is designed for businesses interested in discovering how multi-agent systems can enhance their operations. Are you curious about AI agents and how they collaborate to solve complex problems? Join us to explore the fundamentals, recent research developments, and real-world applications of these systems.
Practical information:
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- Prerequisites: Program for engineers or other technically trained professionals
- Price: €250
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What will you learn?
This session provides a historical overview of the development of agents and multi-agent systems, tracing their evolution from early conceptual models to their current role in complex, distributed AI applications. We begin with the foundational ideas of autonomous agents in the 1980s and 1990s, including seminal contributions in reactive and deliberative architectures. The emergence of multi-agent systems is discussed in the context of coordination, negotiation, and cooperation among agents, influenced by theories from economics, game theory, and cognitive science. We conclude with some use cases of what is today referred to as Agentic AI.
Teacher / speaker
Professor Ann Nowé is a leading Belgian computer scientist specialised in artificial intelligence, with a focus on reinforcement learning, multi-agent systems, and explainable AI. She is a full professor at the Vrije Universiteit Brussel (VUB), holding joint appointments in the Faculty of Sciences and the Faculty of Engineering. Additionally, she is the head of the VUB Artificial Intelligence Lab, an EurAI fellow, and actively involved in Agent Community (IFAAMAS).
