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arXiv · 2506.09696

Patterns for a New Generation: AI and Agents

Joseph Corneli·Charles J. Danoff·Raymond S. Puzio·Sridevi Ayloo·Sergio Belich·Andre Wilkinson·Mary Tedeschi·Pauline Mosley
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Abstract

Design patterns have been used in various fields of inquiry and endeavour to externalize procedural knowledge in a form that supports human reasoning and coordination. In this paper, we show that contemporary Large Language Model (LLM)-based systems can also read, generate, and reason with design patterns written in a structured template. We describe an experimental workflow in which patterns function as shared priors for action selection, reflection, and revision in hybrid human/agent settings. Drawing on the Active Inference Framework, we illustrate how patterns can guide agent behavior without fully prescribing it. This provides a proof of concept that pattern-capable agents can be created using now-standard software tools. We discuss implications for software development, education, business, and AI governance.

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Joseph Corneli, Charles J. Danoff, Raymond S. Puzio, Sridevi Ayloo, Sergio Belich, Andre Wilkinson, Mary Tedeschi, Pauline Mosley. 2025-06-11. Patterns for a New Generation: AI and Agents. https://arxiv.org/abs/2506.09696

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