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Beyond integrative experiment design: Systematic experimentation guided by causal discovery AI.
Kummerfeld, Erich; Andrews, Bryan.
Afiliação
  • Kummerfeld E; Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA erichk@umn.edu; https://erichkummerfeld.com/.
  • Andrews B; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA andr1017@umn.edu.
Behav Brain Sci ; 47: e52, 2024 Feb 05.
Article em En | MEDLINE | ID: mdl-38311438
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Inteligência Artificial Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Inteligência Artificial Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article