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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Groups of diverse problem solvers can outperform groups of high-ability problem solvers
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Groups of diverse problem solvers can outperform groups of high-ability problem solvers

机译：不同的问题解决者小组可以胜过高性能的问题解决者小组

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摘要

We introduce a general framework for modeling functionally diverse problem-solving agents. In this framework, problem-solving agents possess representations of problems and algorithms that they use to locate solutions. We use this framework to establish a result relevant to group composition. We find that when selecting a problem-solving team from a diverse population of intelligent agents, a team of randomly selected agents outperforms a team comprised of the best-performing agents. This result relies on the intuition that, as the initial pool of problem solvers becomes large, the best-performing agents necessarily become similar in the space of problem solvers. Their relatively greater ability is more than offset by their lack of problem-solving diversity.
机译：我们介绍了一个用于对功能多样的问题解决代理进行建模的通用框架。在此框架中，解决问题的代理拥有问题的表示形式以及用于定位解决方案的算法。我们使用此框架来建立与组组成有关的结果。我们发现，当从各种各样的智能代理中选择一个解决问题的团队时，随机选择的代理团队会胜过由表现最好的代理组成的团队。该结果依赖于这样的直觉，即随着问题解决者的初始库变大，性能最佳的代理人在问题解决者的空间中必然变得相似。他们相对较强的能力不足以解决问题的多样性。

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