绕空:用海德格尔和拉康思考大型语言模型

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Marc Heimann, Anne-Friederike Hübener
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引用次数: 0

摘要

这篇文章旨在将目前两种截然不同的思维方式和语言工作方式结合起来。大语言模型和欧陆哲学,尤其是马丁·海德格尔对语言的思考,以及在西格蒙德·弗洛伊德的基础上,雅克·拉康的结构精神分析。我们表明,海德格尔、弗洛伊德和拉康在临床框架中讨论和利用的语言概念与现代法学硕士非常吻合。这使我们能够讨论否定和否定的问题,这是欧洲大陆话语的核心,但在当前的法学硕士研究中却缺失了。这也意味着我们提供了一种与通常人工智能哲学截然不同的方法,因为我们的概念是基于与人工智能研究密切相关的分析哲学话语中经常被忽视的思想家。为此,我们还强调了所提出的方法的本体论差异所在。然而,我们的目标是解决人工智能研究者和大陆哲学家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circling the void: Using Heidegger and Lacan to think about large language models
The essay aims to unite two currently distinct lines of thinking and working with language. Large Language Models and continental philosophy, especially Martin Heidegger’s thinking about language and, building upon Sigmund Freud, Jacques Lacan’s structural psychoanalysis. We show that the concept of language that Heidegger, Freud and Lacan discuss and utilize in clinical frameworks is matched quite strongly by modern LLMs. This allows us to discuss a problem of negation and negativity that is central to the continental discourse but missing in current LLM research. This also means that we offer a radically different approach than is usual in the philosophy of artificial intelligence, since we base our concepts on thinkers that are often disregarded in the analytic philosophy discourse that is closer linked to AI research. To this end we also highlight, where the ontological differences of the proposed approach lie. However, our aim is to address AI researcher and continental philosophers.
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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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