English(EN) NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework

NeSyCat论文统一了神经符号ULLER框架的语义与单子

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-27 15:40

研究人员引入了NeSyCat，一个基于单子的新颖范畴框架，它统一了神经符号ULLER系统的语义。该方法表明，ULLER的一阶逻辑语法的经典、模糊和概率语义都是单一基于单子的结构的实例。该框架便于模块化地添加新语义，并实现它们之间的系统性转换，其中一个例子展示了逻辑张量网络中广义量化的扩展。 AI

影响为神经符号系统提供了一个统一的语义框架，可能简化集成并实现新功能。

排序理由介绍神经符号系统新理论框架的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.AI TIER_1 English(EN) · Daniel Romero Schellhorn, Till Mossakowski · 2026-04-28 04:00

NeSyCat：基于单子的神经符号ULLER框架的范畴语义

arXiv:2604.24612v1 Announce Type: new Abstract: ULLER (Unified Language for LEarning and Reasoning) offers a unified first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a wide range of neurosymbolic systems. The original specification endows th…
arXiv cs.AI TIER_1 English(EN) · Till Mossakowski · 2026-04-27 15:40

NeSyCat：神经符号ULLER框架的基于Monad的范畴语义

ULLER (Unified Language for LEarning and Reasoning) offers a unified first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a wide range of neurosymbolic systems. The original specification endows this syntax with three pairwise independent semant…