塔斯基的更新:“真”字的两种用法

IF 0.7 3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Zhen Zhao
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引用次数: 0

摘要

本文以塔斯基的真理理论为基础。本文的目的是解决说谎者悖论(及其同类悖论),同时保留经典逻辑的演绎能力和自然语言中“真”一词的表达能力。本文的重点在于“真”一词的谓词用法和操作符用法的区别。真值运算符主要用于描述语言的语义。那么,我们就不需要语言的层次结构了。真值谓词主要用于语法功能。塔斯基的真谓词图式在这个命题中是不必要的。单词“true”的模式是真值运算符的模式。说谎者悖论(及其同类悖论)可以用这种方式解决。在附录中,我展示了真值谓词和真值运算符的一致模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Update of Tarski: Two Usages of the Word “True”

An Update of Tarski: Two Usages of the Word “True”

This paper is based on Tarski’s theory of truth. The purpose of this paper is to solve the liar paradox (and its cousins) and keep both of the deductive power of classical logic and the expressive power of the word “true” in natural language. The key of this paper lies in the distinction between the predicate usage and the operator usage of the word “true”. The truth operator is primarily used for characterizing the semantics of the language. Then, we do not need the hierarchy of languages. The truth predicate is mainly used for grammatical function. Tarski’s schema of the truth predicate is not necessary in this proposal. The schema of the word "true" is the schema of the truth operator. The liar paradox (and its cousins) can be solved in this way. In the appendix, I show a consistent model for both of the truth predicate and the truth operator.

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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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