英文标题：
《Quantum Structures in Human Decision-making: Towards Quantum Expected
  Utility》
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作者：
Sandro Sozzo
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最新提交年份：
2018
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英文摘要：
  {\\it Ellsberg thought experiments} and empirical confirmation of Ellsberg preferences pose serious challenges to {\\it subjective expected utility theory} (SEUT). We have recently elaborated a quantum-theoretic framework for human decisions under uncertainty which satisfactorily copes with the Ellsberg paradox and other puzzles of SEUT. We apply here the quantum-theoretic framework to the {\\it Ellsberg two-urn example}, showing that the paradox can be explained by assuming a state change of the conceptual entity that is the object of the decision ({\\it decision-making}, or {\\it DM}, {\\it entity}) and representing subjective probabilities by quantum probabilities. We also model the empirical data we collected in a DM test on human participants within the theoretic framework above. The obtained results are relevant, as they provide a line to model real life, e.g., financial and medical, decisions that show the same empirical patterns as the two-urn experiment.
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中文摘要：
{\\it Ellsberg思维实验}和Ellsberg偏好的实证证实对{\\it主观预期效用理论}（SEUT）提出了严重挑战。我们最近为人类在不确定性条件下的决策制定了一个量子理论框架，该框架令人满意地解决了埃尔斯伯格悖论和SEUT的其他难题。在此，我们将量子理论框架应用于{\\it Ellsberg two-urn示例}，表明可以通过假设作为决策对象的概念实体的状态变化（{\\it decision-making}，或{\\it DM}，{\\it entity}）来解释这一悖论，并通过量子概率来表示主观概率。我们还在上述理论框架内，对我们在DM测试中收集的人类参与者的经验数据进行建模。获得的结果是相关的，因为它们提供了一条线来模拟现实生活，例如财务和医疗决策，这些决策显示出与两个urn实验相同的经验模式。
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分类信息：

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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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 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：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：Physics        物理学
二级分类：Quantum Physics        量子物理学
分类描述：Description coming soon
描述即将到来
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