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2024

AI Agent for Education: von Neumann Multi-Agent System Framework

Jiang, Yuan-Hao, Li, Ruijia, Zhou, Yizhou et al.

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The development of large language models has ushered in new paradigms for education.

This paper centers on the multi-Agent system in education and proposes the von Neumann multi-Agent system framework.
It breaks down each AI Agent into four modules: control unit, logic unit, storage unit, and input-output devices, defining four types of operations: task deconstruction, self-reflection, memory processing, and tool invocation.
Furthermore, it introduces related technologies such as Chain-of-Thought, Reson+Act, and Multi-Agent Debate associated with these four types of operations.

AI Agent for Education: von Neumann Multi-Agent System Framework · Around

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