Are there grounded semantics in (model) organisms?

IF 1.9 4区 生物学 Q2 BIOLOGY
Claudio J Rodríguez H
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引用次数: 0

Abstract

When trying to convene a sense of meaning as a biological property, we should probably want to figure out how exactly we are supposed to cash out the notion of meaning that we have in mind in the first place. Though certainly not the same, meaning and semantics ought to be seen as related, and satisfying a definition for each is a desirable theoretical step forward in trying to understand whether and how meaning is connected with explanations in biology. On the one hand, a constrained definition of semantics is indicative of a linguistic intuition about meaning. On the other, this same notion can stifle a more proper understanding of meaning in simple and non-linguistic organisms. In this paper, I wish to propose a reduced view of content for handling meaning while retaining a guiding notion of semanticity that will influence how we look at experience in non-linguistic organisms. In order to achieve this, I will look at how biology conceptualizes model organisms and propose a philosophical model organism to make our abstract notions of meaning and meaning-making approachable.

在(模型)生物体中是否存在基础语义?
当我们试图将意义感作为一种生物属性时,我们可能想要弄清楚我们应该如何准确地兑现我们首先想到的意义概念。虽然意义和语义肯定不一样,但它们应该被看作是相关的,在试图理解意义是否以及如何与生物学中的解释联系起来的过程中,满足每一个定义是一个理想的理论进步。一方面,受约束的语义定义表明了对意义的语言直觉。另一方面,同样的概念也会阻碍对简单和非语言有机体的意义的更正确的理解。在本文中,我希望提出一种简化的内容观点,以处理意义,同时保留语义的指导概念,这将影响我们如何看待非语言有机体中的经验。为了实现这一点,我将研究生物学是如何将模式生物概念化的,并提出一个哲学模式生物,以使我们对意义和意义制造的抽象概念更容易接近。
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
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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