Speaker: Professor Weiru Liu，University of Bristol

Inviter: 李阳阳副研究员

Title: Agents before and after LLM Revolution: comparing symbolic and neural approaches

Language: English

Time & Venue: 2025.06.30 18:00-19:00 腾讯会议：725-176-435 会议密码：0630

Abstract: The concept of agent and multi-agent systems in AI traces back over four decades (e.g., Konolige, K., A first-order formalization of knowledge and action for a multi-agent planning system. Tech Note 232, SRI International, Menlo Park, California, 1980). Since then, MASs has remained a core research area in AI. Recently, this subfield has experienced a renewed interest driven by advances in large language models (LLMs), leading to a surge in research and application involving LLM-based agent systems. In this talk, I will compare symbolic/logic-based agent systems versus LLM-based agent systems, focusing on their approaches to planning and belief/knowledge management. By contrasting the two paradigms, we aim to identify synergies that can advance the development of more robust and scalable agent systems in the future.