Model of human cognition

• URL: http://arxiv.org/abs/2512.00683v1
• Date: Sun, 30 Nov 2025 00:57:32 GMT
• Title: Model of human cognition
• Authors: Wu Yonggang,
• Abstract summary: We propose a neuro-theoretical framework for the emergence of intelligence in systems that is both functionally robust and biologically plausible.<n>The model provides theoretical insights into cognitive processes such as decision-making and problem solving, and a computationally efficient approach for the creation of explainable and generalizable artificial intelligence.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The development of large language models (LLMs) is limited by a lack of explainability, the absence of a unifying theory, and prohibitive operational costs. We propose a neuro-theoretical framework for the emergence of intelligence in systems that is both functionally robust and biologically plausible. The model provides theoretical insights into cognitive processes such as decision-making and problem solving, and a computationally efficient approach for the creation of explainable and generalizable artificial intelligence.

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