Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data

We analyze human behavior in crowdsourcing contests using an all-pay auction model where all participants exert effort, but only the highest bidder receives the reward. We let workers sourced from Amazon Mechanical Turk participate in an all-pay auction, and contrast the game theoretic equilibrium w...

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Veröffentlicht in:	Autonomous agents and multi-agent systems 2019-03, Vol.33 (1-2), p.192-215
Hauptverfasser:	Bachrach, Yoram, Kash, Ian A., Key, Peter, Oren, Joel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computer Science Computer Systems Organization and Communication Networks Crowdsourcing Distance learning Economic models Empirical analysis Game theory Human behavior Machine learning Software Engineering/Programming and Operating Systems User Interfaces and Human Computer Interaction
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