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

超越整合实验设计:由因果发现人工智能指导的系统性实验

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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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