Foundation and identification of multi-attribute Shannon entropy

IF 1 3区 经济学 Q3 ECONOMICS Games and Economic Behavior Pub Date : 2025-03-01 Epub Date: 2025-01-31 DOI:10.1016/j.geb.2025.01.006
David Walker-Jones
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Abstract

By weakening Shannon's original axioms to allow for attributes of the choice environment to differ in their associated learning costs, this paper provides an axiomatic foundation for Multi-Attribute Shannon Entropy, a natural multi-parameter generalization of Shannon Entropy. Sufficient conditions are also provided for a simple dataset that provides a closed-form solution for the Multi-Attribute Shannon Entropy cost function for information by analyzing stochastic choice data produced by a rationally inattentive agent that is picking between pairs of options when relatively few states of the world have a positive probability of being realized.
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多属性香农熵的建立与辨识
通过弱化香农的原始公理,允许选择环境的属性在其相关学习成本上存在差异,本文为香农熵的自然多参数推广——多属性香农熵提供了公理基础。本文还为一个简单的数据集提供了充分的条件,该数据集通过分析由理性的不注意代理产生的随机选择数据,为信息的多属性香农熵成本函数提供了一个封闭的解决方案,当世界上相对较少的状态具有实现的正概率时,该代理在对选项之间进行选择。
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来源期刊
CiteScore
1.90
自引率
9.10%
发文量
148
期刊介绍: Games and Economic Behavior facilitates cross-fertilization between theories and applications of game theoretic reasoning. It consistently attracts the best quality and most creative papers in interdisciplinary studies within the social, biological, and mathematical sciences. Most readers recognize it as the leading journal in game theory. Research Areas Include: • Game theory • Economics • Political science • Biology • Computer science • Mathematics • Psychology
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