Articles Designing Markets for Prediction

by Yiling Chen , David M. Pennock

Citations:

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TITLE	Articles Designing Markets for Prediction	SVM HeaderParse 0.2
AUTHOR NAME	Yiling Chen	SVM HeaderParse 0.2
AUTHOR NAME	David M. Pennock	SVM HeaderParse 0.2
ABSTRACT	� We survey the literature on prediction mechanisms, including prediction markets and peer prediction systems. We pay particular attention to the design process, highlighting the objectives and properties that are important in the design of good prediction mechanisms. Mechanism design has been described as “inverse game theory. ” Whereas game theorists ask what outcome results from a game, mechanism designers ask what game produces a desired outcome. In this sense, game theorists act like scientists and mechanism designers like engineers. In this article, we survey a number of mechanisms created to elicit predictions, many newly proposed within the last decade. We focus on the engineering questions: How do they work and why? What factors and goals are most important in their	SVM HeaderParse 0.2
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