Relations (1)
related 2.00 — strongly supporting 3 facts
Large Language Models and cognitive architectures are linked through the development of integrated systems like NEOLAF [1], theoretical arguments regarding their shared assumptions about human-like intelligence [2], and their combined role in research concerning the emergence of machine consciousness [3].
Facts (3)
Sources
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org 1 fact
referenceRichard Jiarui Tong et al. introduced NEOLAF, a cognitive architecture powered by large language models (LLMs) that integrates neural and symbolic components, as detailed in their 2023 arXiv preprint arXiv:2308.03990.
Understanding LLM Understanding skywritingspress.ca 1 fact
perspectiveChristian Lebière argues that Large Language Models and cognitive architectures share common assumptions about the nature of human-like intelligence, which makes a deep integration of the two frameworks possible.
Unknown source 1 fact
claimRecent advances in large language models and cognitive architectures suggest that machine consciousness may arise not gradually but via a critical threshold.