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 Advances and Challenges in Foundation Agents Speaker (s):
Liu Bang
Assistant Professor,
Department of Computer Science
and Operations Research,
Université de Montréal
| Date: Time: Venue: | | 25 April 2025, Friday 4:00pm – 5:00pm School of Computing &
Information Systems 1 (SCIS 1)
Level 4, Meeting Room 4-4
Singapore Management University
80 Stamford Road,
Singapore 178902 Please register by 24 April 2025.  |
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About the Talk The advent of large language models (LLMs) has revolutionized artificial intelligence, laying the foundation for sophisticated intelligent agents capable of reasoning, perceiving, and acting across diverse domains. These agents are increasingly central to advancing AI research and applications, yet their design, evaluation, and enhancement pose intricate challenges. In this talk, we will offer a fresh perspective by framing intelligent agents through a modular and cognitive science-inspired lens, bridging AI design with insights from different disciplines to propose a unified framework for understanding their core functionalities and future potential. We will explore the modular design of intelligent agents and present a framework for cognition, perception, action, memory, reward systems, and so on. Then we will discuss each module in detail. Our talk aims to provide a holistic and interdisciplinary perspective for intelligent agent research. About the Speaker Bang Liu is an Assistant Professor in the Department of Computer Science and Operations Research (DIRO) at the University of Montreal (UdeM). He is a member of the RALI laboratory (Applied Research in Computer Linguistics) of DIRO, a member of Institut Courtois of UdeM, an associate member of Mila – Quebec Artificial Intelligence Institute, and a Canada CIFAR AI Chair. His research interests primarily lie in the areas of natural language processing, multimodal & embodied learning, theory and techniques for AGI (e.g., understanding and improving large language models and intelligent agents), and AI for science (e.g., material science, health). |
