Track 3: Agentic AI and Agent Collaboration (AAAC) | 智能体人工智能与智能体协同

Organizers | 组织者信息

• Chair: Yong Zhao, Sichuan University, China
  
• Co-Chair: Rongfang Bie, Beijing Normal University, China
  
• Co-Chair: Wenhong Tian, University of Electronic Science and Technology of China, China
  

Abstract | 论坛简介

Since AI has evolved into the AI Agent era, the research and applications on AI agents are now the key focus for the AI industry. Agentic AI uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems, while Agent Collaboration focuses on the orchestration and planning of multiple agents to collaboratively achieve some common goal. This session will discuss and present the latest frontiers in the fields of AI agents, agentic AI, Agent collaboration, and AI workflow research and development.

随着人工智能进入 AI 智能体时代，围绕智能体的研究与应用已成为人工智能领域的重要关注方向。智能体人工智能通过高级推理与迭代规划，实现对复杂多步骤任务的自主求解；而人工智能协作则关注多个智能体之间的组织、协调与协同规划，以共同完成特定目标。本分论坛将围绕 AI 智能体、智能体人工智能、多智能体协作及 AI 工作流等方向，交流最新研究进展与前沿成果。

Topics | 主题范围

• AI Agent | 人工智能体
• Agentic AI | 智能体人工智能
• Agent Workflow | 智能体工作流
• Multi-Agent Collaboration | 多智能体协作
• Multi-Agent Systems | 多智能体系统
• AI Memory | 人工智能记忆机制
• AI Inference and Reasoning | 人工智能推理与推断
• Reinforcement Learning for AI Agents | 面向智能体的强化学习
• Agent-to-Agent Communication and Collaboration Protocols | 智能体间通信与协作协议
• Embodied AI | 具身智能