英文标题：
《When Big Data Fails! Relative success of adaptive agents using
  coarse-grained information to compete for limited resources》
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作者：
V. Sasidevan, Appilineni Kushal and Sitabhra Sinha
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最新提交年份：
2016
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英文摘要：
  The recent trend for acquiring big data assumes that possessing quantitatively more and qualitatively finer data necessarily provides an advantage that may be critical in competitive situations. Using a model complex adaptive system where agents compete for a limited resource using information coarse-grained to different levels, we show that agents having access to more and better data can perform worse than others in certain situations. The relation between information asymmetry and individual payoffs is seen to be complex, depending on the composition of the population of competing agents.
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中文摘要：
获取大数据的最新趋势是，拥有数量更多、质量更高的数据必然会带来优势，这在竞争形势下可能至关重要。使用一个模型复杂的自适应系统，其中代理使用不同级别的粗粒度信息竞争有限的资源，我们表明，在某些情况下，能够访问更多更好数据的代理的性能可能比其他代理的性能差。信息不对称与个人收益之间的关系被认为是复杂的，这取决于竞争主体群体的构成。
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Computer Science        计算机科学
二级分类：Multiagent Systems        多智能体系统
分类描述：Covers multiagent systems, distributed artificial intelligence, intelligent agents, coordinated interactions. and practical applications. Roughly covers ACM Subject Class I.2.11.
涵盖多Agent系统、分布式人工智能、智能Agent、协调交互。和实际应用。大致涵盖ACM科目I.2.11类。
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一级分类：Quantitative Finance        数量金融学
二级分类：Trading and Market Microstructure        交易与市场微观结构
分类描述：Market microstructure, liquidity, exchange and auction design, automated trading, agent-based modeling and market-making
市场微观结构，流动性，交易和拍卖设计，自动化交易，基于代理的建模和做市
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