Beyond integrative experiment design: Systematic experimentation guided by causal discovery AI

Behavioral and Brain Sciences 47:e52 (2024)
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Abstract

Integrative experiment design is a needed improvement over ad hoc experiments, but the specific proposed method has limitations. We urge a further break with tradition through the use of an enormous untapped resource: Decades of causal discovery artificial intelligence (AI) literature on optimizing the design of systematic experimentation.

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Erich Kummerfeld
Carnegie Mellon University

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References found in this work

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
The Problem of Piecemeal Induction.Conor Mayo-Wilson - 2011 - Philosophy of Science 78 (5):864-874.
The Limits of Piecemeal Causal Inference.Conor Mayo-Wilson - 2014 - British Journal for the Philosophy of Science 65 (2):213-249.

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