[R] Cognitive Architectures for Language Agents - Princeton University 2023

Paper: [https://arxiv.org/abs/2309.02427](https://arxiv.org/abs/2309.02427)

Github: [https://github.com/ysymyth/awesome-language-agents](https://github.com/ysymyth/awesome-language-agents)

Twitter: [https://twitter.com/ShunyuYao12/status/1699396834983362690](https://twitter.com/ShunyuYao12/status/1699396834983362690)

Abstract:

>Recent efforts have incorporated large language models (LLMs) with external resources (e.g., the Internet) or internal control flows (e.g., prompt chaining) for tasks requiring grounding or reasoning. However, these efforts have largely been piecemeal, lacking a systematic framework for constructing a fully-fledged language agent. To address this challenge, we draw on the rich history of agent design in symbolic artificial intelligence to develop a blueprint for a new wave of cognitive language agents. …

abstract challenge control design framework history internet language language models large language large language models llms machinelearning prompt reasoning resources tasks