摘要翻译：
利用神经生物学关于知觉决策和基于价值决策的结果，将彩票之间的决策问题在抽象空间中重新表述，将不确定前景映射到相应的活动神经元表示。这种映射允许我们在新的空间中用一些约束来最大化非扩展熵，而不是效用函数。为了与行为数据达成良好的一致，约束必须至少包括对刺激的加权平均值及其方差的约束。这两个约束条件都是由神经元对外部刺激反应的适应性所支持的。通过与热力学和信息引擎的类比，我们讨论了两个彩票之间的选择动力学，因为它们在大脑中同时被处理，速率方程描述了彩票之间和每个彩票不同前景内的注意力转移。该模型能够对风险厌恶和前景理论无法解释的行为异常提供新的见解。
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英文标题：
《Entropic Decision Making》
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作者：
Adnan Rebei
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最新提交年份：
2020
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Neurons and Cognition        神经元与认知
分类描述：Synapse, cortex, neuronal dynamics, neural network, sensorimotor control, behavior, attention
突触，皮层，神经元动力学，神经网络，感觉运动控制，行为，注意
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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：
  Using results from neurobiology on perceptual decision making and value-based decision making, the problem of decision making between lotteries is reformulated in an abstract space where uncertain prospects are mapped to corresponding active neuronal representations. This mapping allows us to maximize non-extensive entropy in the new space with some constraints instead of a utility function. To achieve good agreements with behavioral data, the constraints must include at least constraints on the weighted average of the stimulus and on its variance. Both constraints are supported by the adaptability of neuronal responses to an external stimulus. By analogy with thermodynamic and information engines, we discuss the dynamics of choice between two lotteries as they are being processed simultaneously in the brain by rate equations that describe the transfer of attention between lotteries and within the various prospects of each lottery. This model is able to give new insights on risk aversion and on behavioral anomalies not accounted for by Prospect Theory.
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PDF链接：
https://arxiv.org/pdf/2001.00122