三十年的认知规范

IF 1.4 2区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Jorge Fandinno, Wolfgang Faber, M. Gelfond
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引用次数: 4

摘要

认识论规范和认识论逻辑程序的语言在稳定的模型语义下通过称为主观字面的模态构念扩展析取逻辑程序。使用主观字面量,可以检查常规字面量在程序的每个或某些稳定模型中是否为真,这些模型,在这里也称为信念集,被收集在一个叫做世界观的集合中。这允许在语言中表示某些命题是否应该根据开放世界或封闭世界的假设来理解。有几次尝试通过形式语义来捕捉语言底层的直觉,结果产生了大量的建议,使得很难理解当前的技术状态。在本文中,我们概述了该领域的起源以及它适合的知识表示和推理任务。我们还详细分析了所提出的语义的性质,并展望了该领域未来研究需要解决的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thirty years of Epistemic Specifications
The language of epistemic specifications and epistemic logic programs extends disjunctive logic programs under the stable model semantics with modal constructs called subjective literals. Using subjective literals, it is possible to check whether a regular literal is true in every or some stable models of the program, those models, in this context also called belief sets, being collected in a set called world view. This allows for representing, within the language, whether some proposition should be understood accordingly to the open or the closed world assumption. Several attempts for capturing the intuitions underlying the language by means of a formal semantics were given, resulting in a multitude of proposals that makes it difficult to understand the current state of the art. In this article, we provide an overview of the inception of the field and the knowledge representation and reasoning tasks it is suitable for. We also provide a detailed analysis of properties of proposed semantics, and an outlook of challenges to be tackled by future research in the area.
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来源期刊
Theory and Practice of Logic Programming
Theory and Practice of Logic Programming 工程技术-计算机:理论方法
CiteScore
4.50
自引率
21.40%
发文量
40
审稿时长
>12 weeks
期刊介绍: Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.
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