英文标题：
《Decision-theoretic approaches to non-knowledge in economics》
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作者：
Ekaterina Svetlova (Universit\\\"at Konstanz, Karlshochschule
International University), Henk van Elst (Karlshochschule International
University)
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最新提交年份：
2014
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英文摘要：
We review two strands of conceptual approaches to the formal representation of a decision maker\'s non-knowledge at the initial stage of a static one-person, one-shot decision problem in economic theory. One focuses on representations of non-knowledge in terms of probability measures over sets of mutually exclusive and exhaustive consequence-relevant states of Nature, the other deals with unawareness of potentially important events by means of sets of states that are less complete than the full set of consequence-relevant states of Nature. We supplement our review with a brief discussion of unresolved matters in both approaches.
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中文摘要：
我们回顾了经济理论中静态单人一次性决策问题初始阶段决策者非知识形式化表示的两种概念方法。一种侧重于在相互排斥和详尽的后果相关自然状态集合上的概率度量表示非知识，另一种侧重于通过不如完整的后果相关自然状态集合完整的状态集合来处理对潜在重要事件的不了解。我们对这两种方法中尚未解决的问题进行简要讨论，以补充我们的审查。
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：General Finance 一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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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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