Skip to content

Neuro-Symbolic Inversion of Control

Until roughly 2023, many efforts used LLMs by calling OpenAI-compatible APIs from conventional programs. In 2025, the approach known as “AI agents and tools,” in which LLMs call conventional programs, is gaining popularity. Some even call 2025 “the year of agents.”

Explanation

loop[Code의 로직에 의해 반복]1234실행호출생성된 출력결과UserCodeLMUserCodeLM

If the conventional approach above represents forward control, the design below, where an AI agent uses tools, can be viewed as a kind of inversion of control.

loop[Agent가 끝났다고 판단할 때까지]1234명령호출결과생성된 출력UserCodeAgentUserCodeAgent

The AI agent controls the high-level flow, while tools perform specific low-level tasks when called by the agent.

Since conventional code (symbolic computation) and a LLM (a neural network) collaborate, this belongs to neuro-symbolic computation. In particular, the latter arrangement reverses control, so we might call it the “Neuro-Symbolic Inversion of Control” pattern.

References

Created
Updated

Machine-translated from the Korean original.

2026 © ak | markdown | 한국어