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English(EN) Towards a Measure Theory of Semantic Information

新理论提出语义信息度量，解决悖论

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新论文提出了一种衡量语义信息的新方法，该方法建立在现有理论的基础上并对其进行了批判。作者指出了Luciano Floridi的语义信息理论中的缺陷，特别是其未能解决Bar-Hillel-Carnap悖论。提出的解决方案利用了单位圆类比，类似于von Neumann的量子概率，来构建一个信息量度量空间，该空间解决了悖论并将矛盾信息赋予相等的度量。 AI

排序理由 该条目是发表在arXiv上的学术论文，详细介绍了一种新的语义信息理论方法。[lever_c_demoted from research: ic=1 ai=0.4]

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新理论提出语义信息度量，解决悖论

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该条目是发表在arXiv上的学术论文，详细介绍了一种新的语义信息理论方法。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · George M. Coghill ·

    迈向语义信息测度理论

    arXiv:2508.00525v2 Announce Type: replace-cross Abstract: A classic account of the quantification of semantic information is that of Bar-Hiller and Carnap. Their account proposes an inverse relation between the informativeness of a statement and its probability. However, their ap…

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