Assistant Professor

助理教授

• 批准号: RGPIN-2015-06127
• 负责人: Cai, Yang
• 金额: $ 2.99万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=590861
• 关键词: Assistant; Professor

Recent years have seen a convergence of ideas and research goals between Computer Science and Economics. Computer Science enabled the development of a new genre of computational platforms that require economic as well as engineering thinking for their proper design and study; primary examples are those systems created and enabled by the Internet. Economics brought to the discussion quantitative models and tools useful to analyze these systems. At the same time, it became clear that the computational nature of these models and tools is crucial for them to be used to study systems with thousands or even millions of interacting individuals. Motivated by this realization, computer scientists have taken in the past decade a fresh, computational look at Game Theory and Economics. One major focus is Algorithmic Mechanism Design, in which we seek for computational efficient systems that are so cleverly designed that users’ selfish behavior helps advance the designer's objectives. The goal of this proposal is to enrich Algorithmic Mechanism Design from two directions that – to the PI’s opinion – has not been sufficiently explored in the literature. We aim (i) to understand how the complexity of an auction affects its performance, and (ii) to apply Algorithmic Mechanism Design to systems beyond auctions.

近年来，计算机科学和经济学之间的思想和研究目标有所融合。计算机科学使一种新类型的计算平台的发展成为可能，这种平台需要经济和工程思维来进行适当的设计和研究;主要的例子是由互联网创建和启用的那些系统。经济学带来的讨论定量模型和工具，有助于分析这些系统。与此同时，很明显，这些模型和工具的计算性质对于它们用于研究具有数千甚至数百万交互个体的系统至关重要。在这种认识的推动下，计算机科学家在过去十年中对博弈论和经济学进行了全新的计算研究。一个主要的焦点是计算机机制设计，在其中我们寻求计算效率高的系统，这些系统设计得如此巧妙，以至于用户的自私行为有助于推进设计者的目标。本提案的目标是从两个方向丰富机械机构设计，PI认为这两个方向在文献中尚未得到充分探讨。我们的目标是（i）了解拍卖的复杂性如何影响其性能，以及（ii）将拍卖机制设计应用于拍卖之外的系统。