Against naïve induction from experimental data

David Kellen; Gregory E. Cox; Chris Donkin; John C. Dunn; Richard M. Shiffrin

doi:10.1017/S0140525X2300211X

Against naïve induction from experimental data

David Kellen, Gregory E. Cox, Chris Donkin, John C. Dunn, Richard M. Shiffrin

Research output: Contribution to journal › Review article › peer-review

Abstract

This commentary argues against the indictment of current experimental practices such as piecemeal testing, and the proposed integrated experiment design (IED) approach, which we see as yet another attempt at automating scientific thinking. We identify a number of undesirable features of IED that lead us to believe that its broad application will hinder scientific progress.

Original language	English (US)
Article number	e33
Journal	Behavioral and Brain Sciences
Volume	47
DOIs	https://doi.org/10.1017/S0140525X2300211X
State	Published - Feb 5 2024

ASJC Scopus subject areas

Neuropsychology and Physiological Psychology
Physiology
Behavioral Neuroscience

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10.1017/S0140525X2300211X

Cite this

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title = "Against na{\"i}ve induction from experimental data",

abstract = "This commentary argues against the indictment of current experimental practices such as piecemeal testing, and the proposed integrated experiment design (IED) approach, which we see as yet another attempt at automating scientific thinking. We identify a number of undesirable features of IED that lead us to believe that its broad application will hinder scientific progress.",

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AU - Donkin, Chris

AU - Dunn, John C.

AU - Shiffrin, Richard M.

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AB - This commentary argues against the indictment of current experimental practices such as piecemeal testing, and the proposed integrated experiment design (IED) approach, which we see as yet another attempt at automating scientific thinking. We identify a number of undesirable features of IED that lead us to believe that its broad application will hinder scientific progress.

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DO - 10.1017/S0140525X2300211X

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JO - Behavioral and Brain Sciences

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Against naïve induction from experimental data

Abstract

ASJC Scopus subject areas

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