2009/04/08 by Jinzhong Niu, Niu, Jinzhong, Simon Parsons +1 · 3 citations
Business, Management and Accounting · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #Auction theory #Business #Common value auction #Computer science #Consumer Market Behavior and Pricing #Economics #FOS: Computer and information sciences #Mechanism (biology) #Mechanism design #Microeconomics #Multiagent Systems (cs.MA) #Physics #Supply Chain and Inventory Management #Vickrey–Clarke–Groves auction #cs.AI #cs.MA
paper · pdf · doi:10.48550/arxiv.0904.1258
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2009/04/08 · arxiv created 2009/04/14 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Auctions are markets with strict regulations governing the information available to traders in the market and the possible actions they can take. Since well designed auctions achieve desirable economic outcomes, they have been widely used in solving real-world optimization problems, and in structuring stock or futures exchanges. Auctions also provide a very valuable testing-ground for economic theory, and they play an important role in computer-based control systems. Auction mechanism design aims to manipulate the rules of an auction in order to achieve specific goals. Economists traditionally use mathematical methods, mainly game theory, to analyze auctions and design new auction forms. However, due to the high complexity of auctions, the mathematical models are typically simplified to obtain results, and this makes it difficult to apply results derived from such models to market environments in the real world. As a result, researchers are turning to empirical approaches. This report aims to survey the theoretical and empirical approaches to designing auction mechanisms and trading strategies with more weights on empirical ones, and build the foundation for further research in the field.