Combining Savage and Laplace: a new approach to ambiguity

IF 0.9 4区 经济学 Q3 ECONOMICS
Ralf Diedrich
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引用次数: 0

Abstract

This paper presents a new representation of preference orderings for the study of ambiguity-related decision-making. The central feature is a preference-based decomposition of subjective probabilities that provides information about inherent ambiguity. The probability decomposition is combined with a utility function reflecting the decision-maker’s attitude toward ambiguity. The proposed theory generalizes Savage’s SEU and allows for a straightforward measurement of ambiguity and ambiguity aversion while keeping concepts for measuring risk and risk attitudes unaffected. For the measurement of ambiguity, concepts of probability theory can be used since decision acts can be interpreted as two-dimensional probability distributions. The proposed measure of ambiguity aversion exploits the properties of the utility function in the same way as the Arrow/Pratt measure of risk aversion.

萨维奇与拉普拉斯的结合:处理模糊性的新方法
本文提出了一种新的偏好排序表示法,用于研究与模糊性相关的决策。其核心特征是对主观概率进行基于偏好的分解,从而提供有关内在模糊性的信息。概率分解与反映决策者对模糊性态度的效用函数相结合。所提出的理论概括了萨维奇的 SEU,允许对模糊性和模糊厌恶进行直接测量,同时保持测量风险和风险态度的概念不受影响。对于模糊性的测量,可以使用概率论的概念,因为决策行为可以解释为二维概率分布。所提出的模糊厌恶度量方法与阿罗/普拉特风险厌恶度量方法一样,利用了效用函数的特性。
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
62
期刊介绍: The field of decision has been investigated from many sides. However, research programs relevant to decision making in psychology, management science, economics, the theory of games, statistics, operations research, artificial intelligence, cognitive science and analytical philosophy have remained separate. Theory and Decision is devoted to all aspects of decision making belonging to such programs, but addresses also possible cross-fertilizations between these disciplines which would represent effective advances in knowledge. The purpose of the journal is to let the engineering of choice gradually emerge both for individual and for collective decision making. Formalized treatments will be favoured, to the extent that they provide new insights into the issues raised and an appropriate modeling of the situation considered. Due to its growing importance, expermentation in decision making as well as its links to the cognitive sciences will be granted special attention by Theory and Decision. Of particular interest are: Preference and belief modeling, Experimental decision making under risk or under uncertainty, Decision analysis, multicriteria decision modeling, Game theory, negotiation theory, collective decision making, social choice, Rationality, cognitive processes and interactive decision making, Methodology of the decision sciences. Applications to various problems in management and organization science, economics and finance, computer-supported decision schemes, will be welcome as long as they bear on sufficiently general cases. Analysis of actual decision making processes are also relevant topics for the journal, whether pertaining to individual, collective or negotiatory approaches; to private decisions or public policies; to operations or to strategic choices. Officially cited as: Theory Decis
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