The content delves into the comparison between LLMs and human reasoning systems, highlighting the structural analysis of reasoning processes. It discusses how LLMs can emulate human reasoning through "ready-to-hand" and "present-at-hand" links, categorizing reasoning into non-creative and creative types. The exploration is guided by Heidegger's concept of truth as "unconcealment," providing a unique perspective on AI capabilities.
The article also touches upon Kant's contributions to understanding reason and knowledge, emphasizing the importance of uncovering hidden truths in the reasoning process. By structuring reasoning into different categories based on its functions, the author aims to provide a comprehensive framework for evaluating LLMs' abilities in relation to human cognition.
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by Jianqiiu Zha... a las arxiv.org 03-07-2024
https://arxiv.org/pdf/2403.03288.pdfConsultas más profundas