2025 Conference (June 11-15, 2025)

基于生成式人工智能的数字代理人系统设计与管理机制研究 

基于生成式人工智能的数字代理人系统设计与管理机制研究 

Research on the Design and Management Mechanisms of AI Agent Systems based on Generative Artificial Intelligence 

Language: English and Chinese

Date: 2025-June-15
Time: 10:30 AM-12:30 PM

Organizers:

Hengshu Zhu, Chinese Academy of Sciences, Professor, hszhu@cnic.cn
Xi Zhang, Tianjin University, Professor, jackyzhang@tju.edu.cn
Wei Zeng, Hunan University, Associate Professor, zengwei_hnu@163.com

 
Reporters:

Qingxin Meng, The University of Nottingham-Ningbo, Assistant Professor, qingxin.meng@nottingham.edu.cn
Ying Sun, The Hong Kong University of Science and Technology (Guangzhou) , Assistant Professor, yings@hkust-gz.edu.cn
Yihang Cheng, Chinese Academy of Sciences, Postdoc, chengyihang544@gmail.com
Wei Zeng, Hunan University, Associate Professor, zengwei_hnu@163.com

Purpose:

AI agents based on generative artificial intelligence are developing rapidly and has great potential to be widely applied in commercial scenarios across various industries in the future. AI Agents based on generative artificial intelligence possess autonomy, reactivity, proactivity and social capabilities. They can independently perceive their environment, process information, interact with other agents or users, and take adaptive actions. With these characteristics, AI Agents can simulate, assist or replace humans in making decisions and executing tasks within specific environments. The application of AI multi-agent systems will fundamentally disrupt the traditional rules and models of organizational management, and will be an emerging interdisciplinary research direction, bringing brand-new opportunities and challenges to academic research and enterprise practice development. Therefore, this workshop is intended to provide participants with a platform for brainstorming and sharing insights, the latest research and application results on AI Agents, empowering scholars and managers to jointly explore how developments in generative artificial intelligence are impacting business models, organizational behavior, human resource management and competitive advantage in enterprises. 

Content:

  1. IEEE面向人才服务的AI智能体应用标准IEEE Recommended Practice for the Application of AI Agent for Talent Service
  2. 商业中的人工智能 AI in Business   
  3. 基于自解释网络的技能价值评估 Skill Value Assessment Based on Interpretable Neural Networks
  4. 基于大语言模型智能体的组织行为模拟 Organizational Behavior Simulation Using Large Language Model-Based Autonomous Agents
  5. 面向领域的AI智能体系统价值观对齐Value Alignment in Domain-Oriented AI Agent Systems


Target Participants: No special requirements.