混合 AI 模式：语言模型与规则耦合的十三种方式及选择指南
Hybrid AI Patterns: Thirteen Ways to Couple Language Models with Rules, and How to Choose Among Them
AI 导读
arXiv 论文以设计模式目录的形式定义了 13 种将大语言模型与可执行规则语言耦合的模式：4 种关于模型与规则边界传递的内容，5 种关于控制权归属，3 种关于模型参与推理的方式，1 种关于知识的时间保持。
正文 · 原文
Abstract:Language models handle text well, and rule engines give conclusions with proofs. Systems that combine the two are usually described by example, and the same coupling turns up under different names in agent frameworks, guardrail toolkits and neuro-symbolic research. This document defines thirteen patterns for coupling a language model with an executable rule language, in the catalogue form introduced for object-oriented design: intent, motivation, applicability, participants, collaborations, consequences, implementation, known uses and related patterns. Four patterns concern what crosses the boundary between model and rules, five who controls whom, three how the model takes part in the reasoning, and one how knowledge is kept over time. Five invariants hold for every combination, and five failure patterns name the couplings that break them. We relate the catalogue to published pattern catalogues and taxonomies of hybrid and neuro-symbolic systems and show where they overlap with it. A decision guide leads from a problem to a pattern. It rests on our measurements, including the cases in which a model alone did as well as the hybrid or better, and it reports what each design cost.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.40036 [cs.AI] |
| (or arXiv:2610.40036v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.40036 arXiv-issued DOI via DataCite |
Submission history
From: Götz-Henrik Wiegand [view email]
[v1]
Thu, 29 Oct 2026 13:37:28 UTC (612 KB)
来源：arXiv cs.AI · arxiv.org