Cognitive LLM Agents leverage large language models (LLMs) for complex and probabilistic symbol transformations. These agents emulate human cognitive functions through a modular architecture, integrating elements like decision-making, memory, and learning. The CoALA framework demonstrates how to structure cognitive language agents utilizing LLMs as a core component, offering insights into modular agent development and structured reasoning techniques.
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Human-like AI: Cognitive LLM AgentsCognitive Functions as Symbol TransformationsLLMs as Probabilistic Symbol TransformersArchitecture of a Human BrainArchitecture of a Cognitive AgentResources:1 Comment
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