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Work item:
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F.RF-AIAC-FM
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Subject/title:
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Requirements and Framework for AI Agent Collaboration for Foundation Models
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2027-Q2 (Medium priority)
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Liaison:
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ITU-T SG20, IEEE C/AISC
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Supporting members:
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China Mobile, China Telecommunications Corporation; ETRI, Institute of Computing Technology Chinese Academy of Sciences, China Information Communication Technologies Group, ZTE Corporation
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Summary:
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With continuous technological advancements and increasing attention to artificial intelligence(AI) agents, a large number of AI agent products have emerged in the market. However, in terms of traditional multi-AI agent systems, where multiple AI agents are directly applied to AI applications, there is a lack of collaboration and control among AI agents, leading to issues such as inflexible task allocation, complex decision-making processes, resource constraints, and low cost-effectiveness.
AI agent collaboration (AIAC) is a service designed to enhance effective cooperation among multiple AI agents. By offering a unified interface, AIAC can seamlessly integrate AI agents from various sources with different functions, significantly enhancing the system's collaborative efficiency and response speed. Additionally, AIAC provides orchestration and recommendation capabilities for multiple AI agents that enable agents to dynamically switch between collaborative and competitive modes, adjusting their behavior patterns according to task requirements. Through AIAC, AI agents can self-adjust and learn based on the demands of various tasks and roles, optimizing the overall performance of foundation models and AI applications.
This draft new Recommendation specifies an artificial intelligence (AI) agent collaboration for foundation models, and provides requirements, reference framework, key procedures and uses cases of AI agent collaboration for foundation models. The recommendation aims to enhance the efficiency, scalability, and robustness of AI agent collaboration for foundation model.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2025-02-25 14:47:00
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Last update:
2025-12-04 16:03:35
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