A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model

التفاصيل البيبلوغرافية
العنوان: A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model
المؤلفون: Zhou, Jingwen, Lu, Qinghua, Chen, Jieshan, Zhu, Liming, Xu, Xiwei, Xing, Zhenchang, Harrer, Stefan
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Software Engineering, Computer Science - Artificial Intelligence
الوصف: The rapid advancement of AI technology has led to widespread applications of agent systems across various domains. However, the need for detailed architecture design poses significant challenges in designing and operating these systems. This paper introduces a taxonomy focused on the architectures of foundation-model-based agents, addressing critical aspects such as functional capabilities and non-functional qualities. We also discuss the operations involved in both design-time and run-time phases, providing a comprehensive view of architectural design and operational characteristics. By unifying and detailing these classifications, our taxonomy aims to improve the design of foundation-model-based agents. Additionally, the paper establishes a decision model that guides critical design and runtime decisions, offering a structured approach to enhance the development of foundation-model-based agents. Our contributions include providing a structured architecture design option and guiding the development process of foundation-model-based agents, thereby addressing current fragmentation in the field.
Comment: Under review
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2408.02920
رقم الأكسشن: edsarx.2408.02920
قاعدة البيانات: arXiv