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You can't play 20 questions with nature and win redux

Published online by Cambridge University Press:  06 December 2023

Bradley C. Love Open the ORCID record for Bradley C. Love [Opens in a new window]  and
Robert M. Mok
Bradley C. Love
Affiliation:
Experimental Psychology, University College London, London, UK b.love@ucl.ac.uk https://bradlove.org/
Robert M. Mok
Affiliation:
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK Rob.Mok@mrc-cbu.cam.ac.uk https://sites.google.com/site/robmokbrainbob/
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Abstract

An incomplete science begets imperfect models. Nevertheless, the target article advocates for jettisoning deep-learning models with some competency in object recognition for toy models evaluated against a checklist of laboratory findings; an approach which evokes Alan Newell's 20 questions critique. We believe their approach risks incoherency and neglects the most basic test; can the model perform its intended task.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e402
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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References

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Roads, B. D., & Love, B. C. (2021). Enriching ImageNet with human similarity judgments and psychological embeddings. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 3547–3557).CrossRefGoogle Scholar
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