LN: Ning et al. (2024) — A Taxonomy of Architecture Options for Foundation Model-based Agents
Bibliographic Reference
Citation: Ning, Z., Lu, H., Wang, G., & Zheng, Y. (2024). A taxonomy of architecture options for foundation model-based agents: Analysis and decision model. arXiv:2408.02920. https://arxiv.org/abs/2408.02920 (This paper is in the PUMA project knowledge PDFs as “A_Taxonomy_of_Architecture_Options_for_Foundation_Model-based_Agents_Analysis_and_Decision_Model_2408.02920v1.pdf”)
Pass 1 — Bird’s Eye View (5 Cs)
| C | Assessment |
|---|---|
| Category | Analysis / taxonomy |
| Context | Systematic taxonomy of agent architecture choices for foundation model-based agents |
| Correctness | Systematic review methodology. Decision model validated. |
| Contributions | (1) Multi-dimensional taxonomy of agent architecture dimensions; (2) Decision model for selecting architecture based on task requirements; (3) Analysis of tradeoffs between complexity, cost, and capability |
| Clarity | Good. Decision model is practical. |
Relevance: ⭐⭐⭐⭐
Provides a systematic decision framework for PUMA’s architectural choices: single vs. multi-agent, reactive vs. deliberative, with/without memory, etc.
PUMA Connection
Use the taxonomy’s decision model to justify PUMA’s architectural progression from Stage 1 (single agent, reactive, no memory) to Stage 5 (multi-agent, deliberative, with memory). Cite in architecture spec and Ch.2.