Newest papers

Selecting and Composing Agent Design Patterns: Industrial Case Evidence and Controlled Reference-System Experiments

Jia Huang, Bingsheng Ru, Bo Liang, Yuke Xiong, Haiyan Fan, Joey Tianyi Zhou · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.25629 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

代理模板目录描述了建筑替代方案,但工程师还需要证据来选择和编写它们。我们扩展了一个认知功能执行 topology 框架,以一种以证据为导向的选择程序和明确的组成合同。该研究结合了两个工业案例账户,一个贡献者的协作设计,七个实践者研讨会,以及可执行的故障注射实验。三种本地参考系统使用 SQLite 状态,共享文物文件,以及一个文件支持的地图发布替代品。 2 x 2 ablation 将函数特定的合同从 36 个场景家庭的执行控制区分开来,每个家庭都有十个输入变量。在平等的家庭重量化中,组成程序正确地使用或安全地拒绝了每个系统中的 11 个 12 个家庭,而不是 2

Machine translation (Meta M2M100); the English original follows.

Abstract

Agent pattern catalogs describe architectural alternatives, but engineers also need evidence for selecting and composing them. We extend a cognitive-function--execution-topology framework with an evidence-driven selection procedure and explicit composition contracts. The study combines two industrial case accounts, a contributor's collaboration design, seven practitioner workshops, and executable fault-injection experiments. Three local reference systems use SQLite state, shared artifact files, and a file-backed map-publication surrogate. A 2 x 2 ablation separates function-specific contracts from execution controls across 36 scenario families, with ten input variants per family. Under equal family weighting, composition correctly completes or safely refuses 11 of 12 families in each system, compared with 2, 2, and 1 for the simple baselines. These are constructed challenge-suite results, not production success rates. Recovery without consumer-side verification increases false-success cases in the map surrogate. All composed systems still fail a boundary case in which trusted evidence is wrong. An audit of a frozen six-arm language-model pilot reproduces its scores but confirms an evaluator-dependent ranking reversal. The contribution connects industrial failure, pattern selection, executable treatment, external acceptance, and revision. Selection is demonstrated rather than evaluated against an alternative procedure; catalog admission rests on separate criteria. The results support bounded composition mechanisms, not a claim that the framework improves engineers' design decisions over an equally informative conventional method.

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Topics: Executable, Computer science, Selection (genetic algorithm), Audit, Artifact (error), Ranking (information retrieval)

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