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Analysis of Division of Cognitive Labor Models with Parameter Inaccuracy: Case Studies

机译:参数不准确的认知劳动模型划分分析:案例研究

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摘要

Division of cognitive labor model has been championed by Philip Kitcher and Michael Strevens. They proposed that scientific community is more effective if scientists distribute their cognitive labor among different projects. In this paper, we study the division of cognitive labor based on our proposed model with parameter inaccuracy. Due to the complexity involved in modeling the general case, we focus on several special cases with a small number of scientists and projects. The theoretical and experimental results show that the imprecise parameters greatly impact the outcome of labor division and the result is far from the original ideal case.
机译:Philip Kitcher和Michael Strevens倡导认知劳动模型的划分。他们提出,如果科学家将他们的认知工作分配到不同的项目中,则科学共同体将更加有效。在本文中,我们基于提出的参数不精确模型研究认知分工。由于对一般案例进行建模所涉及的复杂性,我们只关注少数科学家和项目的几种特殊案例。理论和实验结果表明,不精确的参数对分工的结果有很大的影响,其结果与最初的理想情况相去甚远。

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