Carroll B
Carleton University, Ottawa, Ontario, Canada.
Behav Sci. 1987 Oct;32(4):274-92. doi: 10.1002/bs.3830320404.
Modeling the decision-making processes of human experts has been studied by scientists who call themselves psychologists and by scientists who say they are students of artificial intelligence (Al). The psychological research literature suggests that experts' decision-making processes can be adequately captured by simple mathematical models. On the other hand, those in Al who are preoccupied with human expertise maintain that complex computer models, in the form of expert systems, are required to do justice to those same processes. The resultant paradox of simple versus complex decision-making models is investigated here. The relevant literatures in psychology and Al are reviewed and, based on these findings, a resolution of the paradox is offered.
自称心理学家的科学家以及称自己为人工智能（AI）研究者的科学家都对人类专家的决策过程进行了建模研究。心理学研究文献表明，专家的决策过程可以通过简单的数学模型充分体现。另一方面，专注于人类专业知识的人工智能研究者则认为，需要以专家系统形式的复杂计算机模型才能公正地反映这些相同的过程。本文将探讨由此产生的简单决策模型与复杂决策模型之间的悖论。我们回顾了心理学和人工智能领域的相关文献，并基于这些发现提出了对该悖论的一种解决方案。
