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English(EN) A Knowledge Theory of Capital:The Value of Natural and Artificial Intelligence

新书提出人工智能经济的资本知识理论

一本新学术著作《资本的知识理论:自然智能与人工智能的价值》探讨了当知识本身成为一种资本时,经济原则必须如何适应。该书借鉴了亚当·斯密的理论,研究了知识在变得类似股票和可扩展时是如何产生、转化、部署和衡量的。它引入了“暗资本”和“预期知识损失”等概念,并提出现代财富取决于生产性知识的治理。 AI

影响 提出了一种新的经济框架,用于理解包括人工智能在内的知识作为资本的价值和治理。

排序理由 提交给arXiv的学术论文。[lever_c_降级自研究:ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新书提出人工智能经济的资本知识理论

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提交给arXiv的学术论文。[lever_c_降级自研究:ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jeffrey Gardiner ·

    资本的知识理论:自然智能与人工智能的价值

    arXiv:2606.18288v1 Announce Type: cross Abstract: This volume develops a knowledge theory of capital for economies in which productive capacity increasingly resides in software, data, models, routines, expertise, platforms, organizations, commons, and public epistemic infrastruct…