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English(EN) Mathematics for and by human cognition: A resource-rational search for bottlenecks in problem-solving

认知约束是数学发现的驱动力

本文提出,人类认知约束,通常被视为局限,实际上可以成为数学进步的催化剂。作者认为,这些约束驱动着一种资源理性的解决瓶颈搜索,从而导致新形式主义的发展。通过考察历史实例和情感反应,本文认为,纳入类似人类的约束可能是改进机器数学发现的关键。 AI

影响 提出纳入人类认知约束可以增强机器数学发现能力。

排序理由 该条目是一篇研究论文,讨论了关于认知约束和数学发现的新颖理论。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

认知约束是数学发现的驱动力

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该条目是一篇研究论文,讨论了关于认知约束和数学发现的新颖理论。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    人类认知中的数学及其数学化:解决问题瓶颈的资源理性搜索

    Human cognitive constraints are generally viewed as limiting factors in problem-solving. We argue that these constraints can instead play a critical role in driving advances in mathematics and beyond. We propose a theory of mathematical abstraction as a resource-rational search f…