数据期望的禁区:行为经济学的新数学方法和模型

A. Harin
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引用次数: 0

摘要

本文介绍了禁区定理、假设以及应用的数学方法和模型。该方法和模型基于禁区和假设。这篇文章是由著名的关于人的行为的数学描述的一般问题发起的。问题的本质在于人的偏好和决定的偏差与概率论的预测的比较。该模型在不同的领域得到了统一和成功的应用。研究的最终目的是解决行为经济学、决策理论和社会科学中的一些一般性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forbidden Zones for the Expectations of Data: New Mathematical Methods and Models for Behavioral Economics
A forbidden zone theorem, hypothesis, and applied mathematical method and model are introduced in the present article. The method and model are based on the forbidden zones and hypothesis. The article is initiated by the well-known generic problems concerned with the mathematical description of the behavior of a man. The essence of the problems consists in biases of preferences and decisions of a man in comparison with predictions of the probability theory. The model is uniformly and successfully applied for different domains. The ultimate goal of the research is to solve some generic problems of behavioral economics, decision theories, and the social sciences.
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