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

Erich Kummerfeld, Bryan Andrews

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish (US)
Article numbere33
JournalBehavioral and Brain Sciences
Volume47
DOIs
StatePublished - Feb 5 2024

Bibliographical note

Publisher Copyright:
Copyright © The Author(s), 2024. Published by Cambridge University Press.

PubMed: MeSH publication types

  • Journal Article

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