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词语、空间与生成式AI:当代建筑中的语言层次

Words, Spaces and Generative AI: Layers of language in contemporary architecture

Anca-Simona Horvath

arXiv 2608.24360首次发表:更新:

AI 中文总结

本章探讨建筑领域中语言作为设计材料的价值,结合语言学理论,明确生成式AI辅助建筑设计时交织的三类语言形式,并提出将生成式隐喻与生成式AI结合的研究议程。

AI 中文摘要

语言可被视为建筑领域的一种设计材料,随着文本到X的生成式AI模型成为建筑实践的常用工具,如今对语言的审视比以往更为重要。本章阐述了从维特根斯坦开始的语言学重要发展,包括乔姆斯基、莱考夫的研究,以及舍恩提出的概念隐喻与生成式隐喻,并将这些内容与当代建筑设计和生成式文本到X工具相联系。本章基于一个核心观点:在使用生成式AI开展的建筑设计中,三种主要语言形式相互交织,分别是(I)话语(或包含本领域专业术语的自然语言)、(II)编程语言(作为所有计算系统基础的人工语言)、(III)标注(附加于数据片段的语言元素)。本章最后概述了将生成式隐喻与生成式AI相连接的研究议程:(a)对建筑文本开展语料库语言学研究,使用主题建模等定量工具和话语分析等定性工具;(b)推动传播学与信息研究向建筑研究靠拢;(c)考虑到不同自然语言具有不同的可供性,生成式隐喻与概念隐喻会因这种差异而有所不同。

英文摘要

Language can be considered a design material in architecture, and in the context of text-to-X generative AI models becoming a common tool for architectural practice, looking more closely at language is more important now than in the past. After describing some of the important developments in linguistics starting from Wittgenstein, and including the work of Chomsky, Lakoff, conceptual and generative metaphors as proposed by Schön, this chapter connects them to contemporary architectural design and generative text-to-X tools. The chapter builds on the idea that three main forms of language intertwine in architectural design done using generative AI, namely (I) discourse (or natural language which can contain professional terminology specific to our field), (II) programming languages (which are artificial languages sitting at the basis of all computational systems), and (III) annotations (as language elements attached to pieces of data). It concludes by outlining a research agenda for connecting generative metaphors to generative AI: (a) conducting corpus linguistics studies on architectural texts (using quantitative tools such as topic modelling, and qualitative tools such as discourse analysis); (b) bringing communication theory and information studies closer to architectural research and (c) taking into account that different (natural) languages come with different affordances meaning generative and conceptual metaphors differ in relation to this.

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