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数据科学与管理工程学系学术讲座No.22

发布时间:2017-06-29 13:53:00 来源:数据科学与管理工程学系 浏览次数:

 Replicating Human Behavior in Complex Trading Environments: An Agent-Based Simulation Approach to Bidder Modeling in Continuous Combinatorial Auctions

 

时  间:2017年7月8日(周六)上午 10:00-11:30
 
地  点:紫金港校区圆正启真酒店存中厅(4楼)
 
主讲人:Prof. Alok Gupta, University of Minnesota
 
主持人:陈熹教授,浙江大学管理学院
 
摘  要: 
 
Combinatorial auctions are sophisticated market mechanisms that sell multiple items in the same auction. Yet it remains challenging to explore bidder behavior since the auctions run in an environment where a small group of bidders participate in an auctions and behavior of one particular bidder can potentially affect the behaviors of others.  Experimental analysis of this behavior remains difficult because it is nearly impossible to control for the type of innate behavior and capabilities of bidders in the experimental environment. We propose an agent-based modeling approach for studying bidder behavior; i.e., we develop software agents that simulate human behavior in continuous combinatorial auctions and validate them by replicating human bidder behaviors observed in experimental combinatorial auctions. We leverage these agents to simulate a wide variety of competition types, including experimentally unobserved ones that could not be studied otherwise. The capabilities of the proposed approach will enable more comprehensive studies (e.g., via richer controlled experiments) of bidding behavior in the complex and highly dynamic decision environment of continuous combinatorial auctions.  The presentation will cover the basic idea of combinatorial auctions, a unique approach to solve the allocation decision in real-time that was developed in prior research, the observed behaviors of human bidders in prior experiments and the development of computational agents.
 
主讲人简介:
 
Alok2.jpg
 
Prof. Alok Gupta is the Associate Dean of Faculty and Research and Curtis L. Carlson Schoolwide Chair in Information Management at the Carlson School of Management, University of Minnesota. He received his Ph.D. in Management Science and Information from the University of Texas, Austin. In 2014 he was named an INFORMS Information Systems Society (ISS) Distinguished Fellow and in 2016 he was named as Fellow of the Association for Information Systems (AIS).  He was chosen as the Editor-in-Chief of ISR with his first term starting in January 2017.  His research has been published in various information systems, economics, and computer science journals such as Management Science, ISR, MIS Quarterly, CACM, JMIS, and many other high quality Journals.
 
 
欢迎广大师生前来参加!
 
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