ABSTRACT
We propose a notion of incentive networks, modeling online settings in which multiple participants in a network help each other find information. Within this general setting, we study query incentive networks, a natural abstraction of question-answering systems with rewards for finding answers. We analyze strategic behavior in such networks and under a simple model of networks, show that the Nash equilibrium for participants' strategies exhibits an unexpected threshold phenomenon.
Recommendations
Incentive compatible budget elicitation in multi-unit auctions
SODA '10: Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete algorithmsIn this paper, we consider the problem of designing incentive compatible auctions for multiple (homogeneous) units of a good, when bidders have private valuations and private budget constraints. When only the valuations are private and the budgets are ...
Incentive ratio: A game theoretical analysis of market equilibria
AbstractIn a Fisher market, the market maker sells m products to n potential agents. The agents submit their utility functions and money endowments to the market maker, who, upon receiving submitted information, derives market equilibrium prices and ...
Incentive-Compatible Learning of Reserve Prices for Repeated Auctions
WWW '19: Companion Proceedings of The 2019 World Wide Web ConferenceMotivated by online advertising market, we consider a seller who repeatedly sells ex ante identical items via the second-price auction. Buyers’ valuations for each item are drawn i.i.d. from a distribution F that is unknown to the seller. We find that ...
Comments