EPISODE · May 27, 2026 · 25 MIN
#16 - Cognitive Architectures for Language Agents (Agent Memory)
from Artificially Speaking · host Henry Moran
The provided text introduces Cognitive Architectures for Language Agents (CoALA), a theoretical framework designed to standardize the development of artificial intelligence systems that use large language models as their core. By drawing parallels between modern AI and historical symbolic cognitive science, the authors propose a modular structure involving working and long-term memory, a diverse action space, and a structured decision-making process. This framework categorizes agent actions into grounding for external interaction and internal processes like reasoning, retrieval, and learning. CoALA provides a unified language to compare existing agents and identifies future research paths toward language-based general intelligence. Through various case studies, the sources demonstrate how this systematic approach can enhance an agent's ability to reason, plan, and adapt to complex environments.
What this episode covers
The provided text introduces Cognitive Architectures for Language Agents (CoALA), a theoretical framework designed to standardize the development of artificial intelligence systems that use large language models as their core. By drawing parallels between modern AI and historical symbolic cognitive science, the authors propose a modular structure involving working and long-term memory, a diverse action space, and a structured decision-making process. This framework categorizes agent actions into grounding for external interaction and internal processes like reasoning, retrieval, and learning. CoALA provides a unified language to compare existing agents and identifies future research paths toward language-based general intelligence. Through various case studies, the sources demonstrate how this systematic approach can enhance an agent's ability to reason, plan, and adapt to complex environments.
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#16 - Cognitive Architectures for Language Agents (Agent Memory)
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