英文标题：
《Decision structure of risky choice》
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作者：
Lamb Wubin, Naixin Ren
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最新提交年份：
2017
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英文摘要：
As we know, there is a controversy about the decision making under risk between economists and psychologists. We discuss to build a unified theory of risky choice, which would explain both of compensatory and non-compensatory theories. For risky choice, according to cognition ability, we argue that people could not build a continuous and accurate subjective probability world, but several order concepts, such as small, middle and large probability. People make decisions based on information, experience, imagination and other things. All of these things are so huge that people have to prepare some strategies. That is, people have different strategies when facing to different situations. The distributions of these things have different decision structures. More precisely, decision making is a process of simplifying the decision structure. However, the process of decision structure simplifying is not stuck in a rut, but through different path when facing problems repeatedly. It is why preference reversal always happens when making decisions. The most efficient way to simplify the decision structure is calculating expected value or making decisions based on one or two dimensions. We also argue that the deliberation time at least has four parts, which are consist of substitution time, first order time, second order time and calculation time. Decision structure also can simply explain the phenomenon of paradoxes and anomalies. JEL Codes: C10, D03, D81
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中文摘要：
正如我们所知，经济学家和心理学家对风险决策存在争议。我们讨论建立一个统一的风险选择理论，该理论将解释补偿性和非补偿性理论。对于风险选择，我们认为，根据认知能力，人们不能建立一个连续、准确的主观概率世界，而是几个有序的概念，如小概率、中概率和大概率。人们根据信息、经验、想象力和其他事物做出决策。所有这些事情都是如此巨大，以至于人们不得不准备一些策略。也就是说，人们在面对不同的情况时有不同的策略。这些事物的分布具有不同的决策结构。更准确地说，决策是一个简化决策结构的过程。然而，决策结构简化的过程并不是一成不变的，而是在反复面对问题时通过不同的路径。这就是为什么决策时总是发生偏好逆转。简化决策结构最有效的方法是计算期望值或基于一个或两个维度进行决策。我们还认为，审议时间至少有四个部分，即替代时间、一阶时间、二阶时间和计算时间。决策结构也可以简单地解释悖论和异常现象。JEL代码：C10、D03、D81
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：Economics 经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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