Circling the void: Using Heidegger and Lacan to think about large language models

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Systems Research Pub Date : 2025-03-04 DOI:10.1016/j.cogsys.2025.101349
Marc Heimann, Anne-Friederike Hübener
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引用次数: 0

Abstract

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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