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

Love, BC; Mok, RM; (2023) You can't play 20 questions with nature and win redux. Behavioral and Brain Sciences , 46 , Article e402. 10.1017/S0140525X23001747. Green open access

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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.

Type: Article
Title: You can't play 20 questions with nature and win redux
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1017/S0140525X23001747
Publisher version: http://dx.doi.org/10.1017/s0140525x23001747
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10185677
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