The topology of surprise

IF 4.6 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Alexandru Baltag , Nick Bezhanishvili , David Fernández-Duque
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引用次数: 0

Abstract

In this paper we present a topological epistemic logic, with modalities for knowledge (modelled as the universal modality), knowability (represented by the topological interior operator), and unknowability of the actual world. The last notion has a non-self-referential reading (modelled by Cantor derivative: the set of limit points of a given set) and a self-referential one (modelled by Cantor's perfect core of a given set: its largest subset without isolated points, where x is isolated iff {x} is open). We completely axiomatize this logic, showing that it is decidable and pspace-complete, and we apply it to the analysis of a famous epistemic puzzle: the Surprise Exam Paradox.
惊喜的拓扑结构
在本文中,我们提出了一种拓扑认知逻辑,包括知识的模态(建模为通用模态)、可知性(由拓扑内算子表示)和现实世界的不可知性。最后一个概念有一个非自指读(由康托尔导数建模:给定集合的极限点的集合)和一个自指读(由康托尔给定集合的完美核建模:它的最大的没有孤立点的子集,其中x是孤立的,如果{x}是开的)。我们完全公理化这个逻辑,表明它是可决定的和空间完备的,我们把它应用到一个著名的认知难题的分析:惊喜考试悖论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Artificial Intelligence
Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
11.20
自引率
1.40%
发文量
118
审稿时长
8 months
期刊介绍: The Journal of Artificial Intelligence (AIJ) welcomes papers covering a broad spectrum of AI topics, including cognition, automated reasoning, computer vision, machine learning, and more. Papers should demonstrate advancements in AI and propose innovative approaches to AI problems. Additionally, the journal accepts papers describing AI applications, focusing on how new methods enhance performance rather than reiterating conventional approaches. In addition to regular papers, AIJ also accepts Research Notes, Research Field Reviews, Position Papers, Book Reviews, and summary papers on AI challenges and competitions.
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