信息的基本表示

Jeffrey Mensch
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引用次数: 20

摘要

本着冯·诺伊曼和摩根斯坦(1947)的精神,本文提供了信息的公理化表示。根据von Neumann-Morgenstern公理,以及附加的连续性、对随机化的漠不关心和Blackwell信息性公理,我证明了信息上的任何排序本质上都可以唯一地表示为,等价地:(a)信息获取成本严格增加;(b)对于给定的先验,决策问题的预期效用;(c)对于给定的先验,不确定性的加性后可分离度量;(d)信号的可分离代价。我讨论了结果对理性注意力不集中文献的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cardinal Representations of Information
In the spirit of von Neumann and Morgenstern (1947), this paper provides an axiomatic representation of information. Under the von Neumann-Morgenstern axioms, along with an additional continuity, indifference to randomization, and a Blackwell informativeness axiom, I show that any ordering over information can be essentially uniquely represented as, equivalently: (a) a strictly increasing cost of information acquisition; (b) for a given prior, the expected utility from a decision problem; (c) for a given prior, an additive posterior-separable measure of uncertainty; and (d) a separable cost of signals. I discuss the implications of the results for the rational inattention literature.
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