[2511.22076] Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents

Computer Science > Artificial Intelligence arXiv:2511.22076 (cs) This paper has been withdrawn by Yue Zhong [Submitted on 27 Nov 2025 (v1), last revised 24 Mar 2026 (this version, v2)] Title:Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents Authors:Yue Zhong, Yongju Tong, Jiawen Kang, Minghui Dai, Hong-Ning Dai, Zhou Su, Dusit Niyato View a PDF of the paper titled Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents, by Yue Zhong and 6 other authors No PDF available, click to view other formats Abstract:The Internet of Agents (IoA) is rapidly gaining prominence as a foundational architecture for interconnected intelligent systems, designed to facilitate seamless discovery, communication, and collaborative reasoning among a vast network of Artificial Intelligence (AI) agents. Powered by Large Language and Vision-Language Models, IoA enables the development of interactive, rational agents capable of complex cooperation, moving far beyond traditional isolated models. IoA involves physical entities, i.e., Wireless Agents (WAs) with limited onboard resources, which need to offload their compute-intensive agentic AI services to nearby servers. Such servers can be Mobile Agents (MAs), e.g., vehicle agents, or Fixed Agents (FAs), e.g., end-side units agents. Given their fixed geographical locations and stable connectivity, FAs can serve as reliable communica...