Public Announcements, Public Lies and Recoveries.

IF 0.7 3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Logic Language and Information Pub Date : 2022-01-01 Epub Date: 2022-03-17 DOI:10.1007/s10849-022-09351-4
Kai Li, Jan van Eijck
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引用次数: 1

Abstract

The paper gives a formal analysis of public lies, explains how public lying is related to public announcement, and describes the process of recoveries from false beliefs engendered by public lying. The framework treats two kinds of public lies: simple lying update and two-step lying, which consists of suggesting that the lie may be true followed by announcing the lie. It turns out that agents' convictions of what is true are immune to the first kind, but can be shattered by the second kind. Next, recovery from public lying is analyzed. Public lies that are accepted by an audience cannot be undone simply by announcing their negation. The paper proposes a recovery process that works well for restoring beliefs about facts but cannot be extended to beliefs about beliefs. The formal machinery of the paper consists of KD45 models and conditional neighbourhood models, with various update procedures on them. Completeness proofs for a number of reasoning systems (converse belief logic, public lies logic, lying and recovery logic, conditional neighbourhood logic, plus its dynamic version) are included.

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公开公告,公开谎言和赔偿。
本文对公众谎言进行了形式分析,解释了公众谎言与公众公告的关系,并描述了公众谎言产生的错误信念的恢复过程。该框架研究了两种公开的谎言:简单的谎言更新和两步谎言,两步谎言包括暗示谎言可能是真的,然后宣布谎言。事实证明,行动者对真实的信念不受第一种信念的影响,但可能被第二种信念所打破。接下来,分析从公开撒谎中恢复。公众所接受的谎言不能仅仅通过宣布否定就被撤销。本文提出了一个恢复过程,它可以很好地恢复关于事实的信念,但不能扩展到关于信念的信念。本文的形式机制由KD45模型和条件邻域模型组成,并对它们进行了各种更新程序。包括一些推理系统的完备性证明(逆信念逻辑、公开谎言逻辑、谎言与恢复逻辑、条件邻域逻辑及其动态版本)。
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来源期刊
Journal of Logic Language and Information
Journal of Logic Language and Information COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEL-LOGIC
CiteScore
1.70
自引率
12.50%
发文量
40
期刊介绍: The scope of the journal is the logical and computational foundations of natural, formal, and programming languages, as well as the different forms of human and mechanized inference. It covers the logical, linguistic, and information-theoretic parts of the cognitive sciences. Examples of main subareas are Intentional Logics including Dynamic Logic; Nonmonotonic Logic and Belief Revision; Constructive Logics; Complexity Issues in Logic and Linguistics; Theoretical Problems of Logic Programming and Resolution; Categorial Grammar and Type Theory; Generalized Quantification; Information-Oriented Theories of Semantic Structure like Situation Semantics, Discourse Representation Theory, and Dynamic Semantics; Connectionist Models of Logical and Linguistic Structures. The emphasis is on the theoretical aspects of these areas.
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