摘要翻译:
近年来,关于具有一般概念包含的模糊描述逻辑(Fuzzy Description Logics,简称FDLs)的研究出现了一些意想不到的结果。结果表明,与经典情形不同的是,具有GCIs的DL ALC不具有Lukasiewicz逻辑或乘积逻辑下的有限模型性质,特别是对于乘积逻辑,知识库可满足性是一个不可判定的问题。通过证明知识库的可满足性对于Lukasiewicz逻辑也是一个不可判定的问题来完成本文的分析。
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英文标题:
《On the Undecidability of Fuzzy Description Logics with GCIs with
Lukasiewicz t-norm》
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作者:
Marco Cerami and Umberto Straccia
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最新提交年份:
2011
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Logic in Computer Science 计算机科学中的逻辑
分类描述:Covers all aspects of logic in computer science, including finite model theory, logics of programs, modal logic, and program verification. Programming language semantics should have Programming Languages as the primary subject area. Roughly includes material in ACM Subject Classes D.2.4, F.3.1, F.4.0, F.4.1, and F.4.2; some material in F.4.3 (formal languages) may also be appropriate here, although Computational Complexity is typically the more appropriate subject area.
涵盖计算机科学中逻辑的所有方面,包括有限模型理论,程序逻辑,模态逻辑和程序验证。程序设计语言语义学应该把程序设计语言作为主要的学科领域。大致包括ACM学科类D.2.4、F.3.1、F.4.0、F.4.1和F.4.2中的材料;F.4.3(形式语言)中的一些材料在这里也可能是合适的,尽管计算复杂性通常是更合适的主题领域。
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一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence
人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
Recently there have been some unexpected results concerning Fuzzy Description Logics (FDLs) with General Concept Inclusions (GCIs). They show that, unlike the classical case, the DL ALC with GCIs does not have the finite model property under Lukasiewicz Logic or Product Logic and, specifically, knowledge base satisfiability is an undecidable problem for Product Logic. We complete here the analysis by showing that knowledge base satisfiability is also an undecidable problem for Lukasiewicz Logic.
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PDF链接:
https://arxiv.org/pdf/1107.4212