Summary of Agent Design Pattern Catalogue: a Collection Of Architectural Patterns For Foundation Model Based Agents, by Yue Liu et al.
Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents
by Yue Liu, Sin Kit Lo, Qinghua Lu, Liming Zhu, Dehai Zhao, Xiwei Xu, Stefan Harrer, Jon Whittle
First submitted to arxiv on: 16 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a systematic analysis of foundation model-enabled generative artificial intelligence (AI) agents, which leverage reasoning and language processing capabilities to autonomously pursue users’ goals. To address the lack of guidance on designing such agents, the authors conducted a literature review to understand the state-of-the-art foundation model-based agents and the broader ecosystem. The paper proposes a pattern catalogue with 18 architectural patterns, analyzed context, forces, and trade-offs, along with a decision model for selecting patterns. This catalogue aims to provide holistic guidance for effective use of patterns and support architecture design for foundation model-based agents. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper helps us understand how artificial intelligence can be used to create autonomous agents that help people achieve their goals. It’s like having a virtual assistant that can think critically and make decisions on its own. The researchers studied existing AI systems and identified 18 different patterns or ways to design these agents. They also created a decision-making model to help others choose the best approach for their specific needs. |
