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

Journal: The Behavioral and brain sciences
Published Date:

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.

Authors

  • Erich Kummerfeld
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55454.
  • Bryan Andrews
    Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454.