Internet of Agents: Fundamentals, Applications, and Challenges
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arXiv
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912653324058624 |
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| author | Wang, Yuntao Guo, Shaolong Pan, Yanghe Su, Zhou Chen, Fahao Luan, Tom H. Li, Peng Kang, Jiawen Niyato, Dusit |
| author_facet | Wang, Yuntao Guo, Shaolong Pan, Yanghe Su, Zhou Chen, Fahao Luan, Tom H. Li, Peng Kang, Jiawen Niyato, Dusit |
| contents | With the rapid proliferation of large language models and vision-language models, AI agents have evolved from isolated, task-specific systems into autonomous, interactive entities capable of perceiving, reasoning, and acting without human intervention. As these agents proliferate across virtual and physical environments, from virtual assistants to embodied robots, the need for a unified, agent-centric infrastructure becomes paramount. In this survey, we introduce the Internet of Agents (IoA) as a foundational framework that enables seamless interconnection, dynamic discovery, and collaborative orchestration among heterogeneous agents at scale. We begin by presenting a general IoA architecture, highlighting its hierarchical organization, distinguishing features relative to the traditional Internet, and emerging applications. Next, we analyze the key operational enablers of IoA, including capability notification and discovery, adaptive communication protocols, dynamic task matching, consensus and conflict-resolution mechanisms, and incentive models. Finally, we identify open research directions toward building resilient and trustworthy IoA ecosystems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_07176 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Internet of Agents: Fundamentals, Applications, and Challenges Wang, Yuntao Guo, Shaolong Pan, Yanghe Su, Zhou Chen, Fahao Luan, Tom H. Li, Peng Kang, Jiawen Niyato, Dusit Multiagent Systems Artificial Intelligence With the rapid proliferation of large language models and vision-language models, AI agents have evolved from isolated, task-specific systems into autonomous, interactive entities capable of perceiving, reasoning, and acting without human intervention. As these agents proliferate across virtual and physical environments, from virtual assistants to embodied robots, the need for a unified, agent-centric infrastructure becomes paramount. In this survey, we introduce the Internet of Agents (IoA) as a foundational framework that enables seamless interconnection, dynamic discovery, and collaborative orchestration among heterogeneous agents at scale. We begin by presenting a general IoA architecture, highlighting its hierarchical organization, distinguishing features relative to the traditional Internet, and emerging applications. Next, we analyze the key operational enablers of IoA, including capability notification and discovery, adaptive communication protocols, dynamic task matching, consensus and conflict-resolution mechanisms, and incentive models. Finally, we identify open research directions toward building resilient and trustworthy IoA ecosystems. |
| title | Internet of Agents: Fundamentals, Applications, and Challenges |
| topic | Multiagent Systems Artificial Intelligence |
| url | https://arxiv.org/abs/2505.07176 |