English(EN) On the Optimality of Kinship Naming: an Information-theoretic Approach

新研究探索亲属命名系统的信息论方法

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员探讨了自然语言命名系统（特别是亲属称谓）的信息量与复杂性之间的平衡。通过分析四种语言的数据，并考虑听者模型和沟通需求的变化，该研究揭示了这些因素如何影响权衡。研究还表明，实现这种权衡不仅在理论上是可能的，而且在新兴的沟通系统中，特别是在指称游戏设置中，也是经验上可观察到的。 AI

影响这项研究有助于理解新兴的沟通系统，可能为开发更高效、更直观的AI沟通模型提供信息。

排序理由该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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

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arXiv cs.AI TIER_1 English(EN) · Phong Le, Mees Lindeman, Raquel G. Alhama · 2026-09-01 04:00

亲属命名最优性：一种信息论方法

arXiv:2511.19120v2 Announce Type: replace-cross Abstract: The structure of naming systems in natural languages hinges on a trade-off between high informativeness and low complexity. Focusing on the domain of kinship naming, we analyze such trade-off while addressing simplifying a…