报告题目：Toward Edge General Intelligence with Agentic AI and Agentification
报 告 人：Dusit Niyato, 新加坡南洋理工大学（NTU）计算与数据科学学院 President's Chair Professor
报告时间：2025年9月26日 (星期五) 上午10:00
报告地点：信息科学与工程学院/网络空间安全学院 624报告厅
邀 请 人：靳文强教授
报告摘要:
The rapid expansion of sixth-generation (6G) wireless networks and the Internet of Things (IoT) has catalyzed the evolution from centralized cloud intelligence towards decentralized edge general intelligence. However, traditional edge intelligence methods, characterized by static models and limited cognitive autonomy, fail to address the dynamic, heterogeneous, and resource-constrained scenarios inherent to emerging edge networks. Agentic artificial intelligence (Agentic AI) emerges as a transformative solution, enabling edge systems to autonomously perceive multimodal environments, reason contextually, and adapt proactively through continuous perception-reasoning-action loops. In this context, the agentification of edge intelligence serves as a key paradigm shift, where distributed entities evolve into autonomous agents capable of collaboration and continual adaptation. This paper presents a comprehensive survey dedicated to Agentic AI and agentification frameworks tailored explicitly for edge general intelligence. First, we systematically introduce foundational concepts and clarify distinctions from traditional edge intelligence paradigms. Second, we analyze important enabling technologies, including compact model compression, energy-aware computing strategies, robust connectivity frameworks, and advanced knowledge representation and reasoning mechanisms. Third, we provide representative case studies demonstrating Agentic AI's capabilities in low-altitude economy networks and intent-driven networking. Furthermore, we identify current research challenges.
报告人简介: Dusit Niyato is currently a President's Chair Professor in the College of Computing & Data Science (CCDS), Nanyang Technological University, Singapore. Dusit's research interests are in the areas of mobile generative AI, edge intelligence, quantum computing and networking, and incentive mechanism design. Currently, Dusit is serving as Editor-in-Chief of IEEE Transactions on Network Science and Engineering (impact factor 7.9). He is also the past Editor-in-Chief and current area editor of IEEE Communications Surveys and Tutorials (impact factor 46.7), the area editor of IEEE Transactions on Vehicular Technology, area editor of IEEE Transactions on Communications, topical editor of IEEE Internet of Things Journal, lead series editor of IEEE Communications Magazine, topic editor of IEEE Transactions on Services Computing, and associate editor of IEEE Transactions on Wireless Communications,. Dusit is the Members-at-Large to the Board of Governors of IEEE Communications Society for 2024-2026. He is a Fellow of IEEE and a Fellow of IET.
