Algorithmic Game Theory and Practice

算法博弈理论与实践

• 批准号: 1540283
• 负责人: Richard Karp
• 金额: $ 2.5万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1540283&HistoricalAwards=false
• 关键词: Algorithmic; Game; Theory; Practice

Many computer scientists have realized that, in order to productively model and study the Internet and its novel computational phenomena, they need models and insights from disciplines such as game theory and economic theory, while many economists have found that a computational point of view is essential in order to understand a world in which markets are networked and the default platforms of economic transactions are algorithmic. Algorithmic Game Theory (AGT) stands at the intersection of these two fields. It has had significant practical impact, in a broad range of applications including online, matching and assignment markets, internet advertising, information diffusion, airport security, etc. This workshop will showcase the impact of  AGT on practice, and explore avenues for increasing the field's practical impact, including connections to machine learning, data science, and financial markets.

许多计算机科学家已经意识到，为了有效地建模和研究互联网及其新颖的计算现象，他们需要来自博弈论和经济理论等学科的模型和见解，而许多经济学家发现，为了理解市场网络化和经济交易默认平台是算法的世界，计算观点是必不可少的。博弈论（AGT）站在这两个领域的交叉点。它在广泛的应用中产生了重大的实际影响，包括在线，匹配和分配市场，互联网广告，信息传播，机场安全等。本次研讨会将展示AGT对实践的影响，并探索增加该领域实际影响的途径，包括与机器学习，数据科学和金融市场的联系。