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English(EN) Hybrid MKNF with Classical Negation in the Rule Component

新的混合MKNF知识库用经典否定扩展逻辑编程

研究人员开发了一种混合MKNF知识库的扩展,该扩展将经典否定纳入规则组件。这一进展解决了现有系统的一个关键限制,即以前无法表示明确的负面知识,而这是安全关键型应用的一个关键方面。新框架正式定义了其语法和语义,并包含了一个计算其良基模型的程序。 AI

排序理由 该集群包含一篇学术论文,详细介绍了计算机科学特定领域的一种新颖技术方法。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.AI 阅读 →

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新的混合MKNF知识库用经典否定扩展逻辑编程

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该集群包含一篇学术论文,详细介绍了计算机科学特定领域的一种新颖技术方法。[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) · Arun Raveendran Nair Sheela (Universit\'e Clermont Auvergne, LIMOS Laboratory, Thales), Christophe Rey (Universit\'e Clermont Auvergne, LIMOS, CNRS, France), Florence De Grancey (Thales) ·

    混合 MKNF 与规则组件中的经典否定

    arXiv:2607.21202v1 Announce Type: cross Abstract: Hybrid MKNF knowledge bases under the well-founded semantics integrate Description Logics with Logic Programming. However, they do not support classical negation in the rule component, limiting their ability to represent explicit …