The optimality of coarse categories in decision-making and information storage

Michael Mandler
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Abstract

An agent who lacks preferences and instead makes decisions using criteria that are costly to create should select efficient sets of criteria, where the cost of making a given number of choice distinctions is minimized. Under mild conditions, efficiency requires that binary criteria with only two categories per criterion are chosen. When applied to the problem of determining the optimal number of digits in an information storage device, this result implies that binary digits (bits) are the efficient solution, even when the marginal cost of using additional digits declines rapidly to 0. This short paper pays particular attention to the symmetry conditions entailed when sets of criteria are efficient.
粗糙分类在决策和信息存储中的最优性
缺乏偏好并使用创建成本较高的标准做出决策的代理应该选择有效的标准集,在这些标准集中,做出给定数量的选择差异的成本最小。在温和的条件下,效率要求每个标准只选择两个类别的二元标准。当应用于确定信息存储设备中最佳位数的问题时,该结果表明,即使使用额外位数的边际成本迅速下降到0,二进制数(位)也是有效的解决方案。这篇短文特别关注准则集有效时所包含的对称条件。
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