Korbak, Tomasz (2019) Unsupervised learning and the natural origins of content. [Preprint]
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Abstract
In this paper, I evaluate the prospects and limitations of radical enactivism as recently developed by Hutto and Myin (henceforth, “H&M”) (2013, 2017). According to radical enactivism, cognition does not essentially involve content and admits explanations on a semantic level only as far as cognition is scaffolded with social and linguistic practices. I investigate their claims, focusing on H&M’s criticism of the predictive processing account of cognition (dubbed the bootstrap hell argument) and their own account of the emergence of content (the natural origins of content). I argue that H&M fail on two fronts: unsupervised learning can arrive at contentful representations and H&M’s account of the emergence of content assumes an equivalent bootstrapping. My case is illustrated with Skyrms’ evolutionary game-theoretic account of the emergence of content and recent deep learning research on neural language models. These arguments cast a shadow of doubt on whether radical enactivism is philosophically interesting or empirically plausible.
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Item Type: | Preprint | ||||||
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Keywords: | hard problem of content; radical enactivism; predictive processing; neural language models; deep learning; bootstrap hell; semantic information | ||||||
Subjects: | Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science > Concepts and Representations General Issues > Explanation Specific Sciences > Artificial Intelligence > Machine Learning |
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Depositing User: | Mr. Tomasz Korbak | ||||||
Date Deposited: | 15 Sep 2019 02:15 | ||||||
Last Modified: | 15 Sep 2019 02:15 | ||||||
Item ID: | 16429 | ||||||
Subjects: | Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science > Concepts and Representations General Issues > Explanation Specific Sciences > Artificial Intelligence > Machine Learning |
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Date: | 2019 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/16429 |
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Unsupervised learning and the natural origins of content. (deposited 25 Apr 2019 04:51)
- Unsupervised learning and the natural origins of content. (deposited 15 Sep 2019 02:15) [Currently Displayed]
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