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New theory proposes measure for semantic information, resolving paradox

By PulseAugur Editorial · [1 sources] ·

A new paper proposes a novel approach to measuring semantic information, building upon and critiquing existing theories. The author identifies flaws in Luciano Floridi's semantic information theory, particularly its failure to resolve the Bar-Hillel-Carnap paradox. The proposed solution utilizes a unit circle analogy, similar to von Neumann's quantum probability, to construct a measure space for informativeness that addresses the paradox and assigns equal informativeness to contradictory messages. AI

RANK_REASON The item is an academic paper published on arXiv detailing a new theoretical approach to semantic information. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New theory proposes measure for semantic information, resolving paradox

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The item is an academic paper published on arXiv detailing a new theoretical approach to semantic information. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

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

    Towards a Measure Theory of Semantic Information

    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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