摘要翻译:
我们从一般的角度研究个体的决策行为。运用形式化的数学模型,研究了任务属性主观感知变化下决策行为的作用机制。我们的模型建立在两种经典行为决策理论:“前景理论”和“形象理论”的基础上。在整个决策过程中考虑决策者的主观属性偏好。通过对多属性决策的描述,归纳出策略的收集和选择机制。提出了一种新的行为决策框架“梯形理论(LT)”。通过四个实例的比较,结果表明,在某些决策情况下,LT比PT和它具有更好的解释和预测能力。此外,我们用我们的模型说明LT理论可以理想地涵盖PT和PT。它是对经典行为决策理论的丰富和发展,对解释大量现实决策现象具有积极的理论价值和指导意义。它可能有助于我们理解个人决策实际上是如何进行的。
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英文标题:
《The Ladder Theory of Behavioral Decision Making》
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作者:
Xingguang Chen
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最新提交年份:
2018
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分类信息:
一级分类:Economics 经济学
二级分类:General Economics 一般经济学
分类描述:General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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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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英文摘要:
We study individual decision-making behavioral on generic view. Using a formal mathematical model, we investigate the action mechanism of decision behavioral under subjective perception changing of task attributes. Our model is built on work in two kinds classical behavioral decision making theory: "prospect theory (PT)" and "image theory (IT)". We consider subjective attributes preference of decision maker under the whole decision process. Strategies collection and selection mechanism are induced according the description of multi-attributes decision making. A novel behavioral decision-making framework named "ladder theory (LT)" is proposed. By real four cases comparing, the results shows that the LT have better explanation and prediction ability then PT and IT under some decision situations. Furthermore, we use our model to shed light on that the LT theory can cover PT and IT ideally. It is the enrichment and development for classical behavioral decision theory and, it has positive theoretical value and instructive significance for explaining plenty of real decision-making phenomena. It may facilitate our understanding of how individual decision-making performed actually.
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PDF链接:
https://arxiv.org/pdf/1809.03442