Witgenstein's influence on artificial intelligence
Not on the map. Why?
Abstract (arXiv)
We examine how much of the contemporary progress in artificial intelligence (and, specifically, in natural language processing), can be, more or less directly, traced back to the seminal work and ideas of the Austrian-British philosopher Ludwig Wittgenstein, with particular focus on his late views. Discussing Wittgenstein's original theses will give us the chance to survey the state of artificial intelligence, and comment on both its strengths and weaknesses. A similar text appeared first in Spanish as a chapter of CENTENARIO DEL SILENCIO (2021), a book celebrating 100 years since the publication of the Tractatus.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 33 references that are in the map. First posted on arXiv 3 Feb 2023.
Builds on
9 of 33 references.
References · 9
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
- 2018Deep contextualized word representationscited by 2,285
- 2016node2vec: Scalable Feature Learning for Networkscited by 1,913
- 2018World Modelscited by 1,444
- 2016Context Encoders: Feature Learning by Inpaintingcited by 1,424
- 2020Experience Grounds Languagecited by 241
- 2016The Effects of Data Size and Frequency Range on Distributional Semantic Modelscited by 6
- 2021Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interactioncited by 5
Built on by
Citing papers per year: 2026: 1.
1 paper.
- 2026Data Evolution by Wittgenstein's Rule Followingcited by 0
- 2026Data Evolution by Wittgenstein's Rule Following21 Jun 2026