参照直觉跨文化差异的起源:Gödel案例的视角

IF 1.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Biomedical Semantics Pub Date : 2021-08-07 DOI:10.1093/jos/ffab010
Jincai Li
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引用次数: 4

摘要

专有名称如何指代?这个关于指称的问题对于研究语言的哲学家,研究意义和指称的语言学家,以及对儿童如何获得名字感兴趣的心理语言学家来说是至关重要的。在过去的一个世纪里,哲学家们提出了两种经典理论来解释名称与其所指代的实体之间的联系,即Frege(1892/1948)、Russell(1905)和Searle(1958)等人提出的描述主义理论,以及Kripke(1980)最引人注目的因果历史观点。在前一种情况下,名称通过相关的确定描述获得其所指。因此,当演讲者使用一个名称时,他们通常指的是最适合该名称附带的描述性内容的人。例如,“卡玛拉·哈里斯”这个名字指的是卡玛拉·哈里斯女士,因为她是唯一一个能够独特地满足“美国第一位女副总统”这一描述内容的人,这一描述内容如今通常与这个名字联系在一起。相反,根据Kripkean的因果历史观点,一个名字是通过一个链接来指代一个人的,这个链接起源于最初的命名仪式,然后通过说话者的社区传递下去。Kripke认为专有名称是一种严格的指示,它们继续指代最初被赋予该名称的个人,即使他们最终没有说话者与该名称相关的任何属性(1980)。这意味着,在因果历史的图景中,“卡玛拉·哈里斯”这个名字仍然指的是卡玛拉·哈里斯这个人,即使她没有被选为美国副总统。在哲学文献中,公认的智慧是克里普克用著名的“Gödel”思想实验来支持他的因果史观。假设大多数人听说过的关于数学家Kurt Gödel的唯一一件事就是他是证明了算术不完备性的人,因此这是这些人能联想到Gödel的唯一可能的明确描述。现在想象一下,拥有这个名字的人(Kurt Gödel)实际上并没有证明这个定理,而是从一个名叫施密特的家伙那里偷来的,他做了所有的工作。在这种情况下,描述主义理论预测“Gödel”这个名字指的是施密特,因为施密特是最合适的人选
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The Origin of Cross-Cultural Differences in Referential Intuitions: Perspective Taking in the Gödel Case
How do proper names refer? This question about reference is critical for philosophers studying language, linguists investigating meaning and reference, and psycholinguists interested in how children acquire names. Over the past century, philosophers have put forward two classical theories to explain the link between a name and the entity it refers to, i.e., the descriptivist theory proposed by Frege (1892/1948), Russell (1905) and Searle (1958) among others, and the causal-historical view most notably advocated by Kripke (1980). On the former account, a name gets its referent through associated definite descriptions. Thus, when a speaker uses a name, they typically refer to whoever best fits the descriptive content attached to that name. For instance, the name “Kamala Harris” refers to the lady Kamala Harris because she is the sole individual who could uniquely satisfy the descriptive content “the first female vice president of the United States” that is commonly associated with the name nowadays. In contrast, according to the Kripkean causal-historical view, a name refers to a person via a link that is originated in the initial naming ceremony and then gets passed down through a community of speakers. Kripke contends that proper names are rigid designators and they continue to refer to the individuals who were initially given the name, even when they turn out to have none of the properties that speakers associate with this name (1980). That means, on the causal-historical picture, the name “Kamala Harris” would still refer to the person Kamala Harris even if she had not been elected the vice president of the United States. In the philosophical literature, the received wisdom is that Kripke supported his causalhistorical view of reference with the famous “Gödel” thought experiment. Suppose the only thing most people have heard about the mathematician Kurt Gödel is that he is the person who proved the incompleteness of arithmetic, which thus is the only possible definite description these people could associate with Gödel. And now imagine that the person who bears this name (Kurt Gödel) didn’t actually prove the theorem, but instead stole it from a fellow named Schmidt who did all the work. In this case, the descriptivist theory predicts that the name “Gödel” would refer to Schmidt, because Schmidt is the person best fitting
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来源期刊
Journal of Biomedical Semantics
Journal of Biomedical Semantics MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
4.20
自引率
5.30%
发文量
28
审稿时长
30 weeks
期刊介绍: Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas: Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability. Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.
期刊最新文献
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI). MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed. Annotation of epilepsy clinic letters for natural language processing An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology. Concretizing plan specifications as realizables within the OBO foundry.
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