We investigate asymptotically optimal keyword auctions, that is, auctions which maximize revenue as the number of bidders grows. We do so under two alternative behavioral assumpti...
In recent years auctions have become more and more important in the field of multiagent systems as useful mechanisms for resource allocation, task assignment and last but not leas...
In recent years auctions have become more and more important in the field of multiagent systems as useful mechanisms for resource allocation and task assignment. In many cases the...
We present and implement an infrastructure for automating the negotiation of business contracts. Underlying our system is a declarative language for both (1) fully-specified, exe...
Daniel M. Reeves, Michael P. Wellman, Benjamin N. ...
Recently, some mainstream e-commerce web sites have begun using “pay-per-bid” auctions to sell items, from video games to bars of gold. In these auctions, bidders incur a cost...
John W. Byers, Michael Mitzenmacher, Georgios Zerv...
We study auctions with severe bounds on the communication allowed: each bidder may only transmit t bits of information to the auctioneer. We consider both welfare- and profit-max...
We study auctions in which bidders have severe constraints on the size of messages they are allowed to send to the auctioneer. In such auctions, each bidder has a set of k possible...
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
In many market settings, agents do not know their preferences a priori. Instead, they may have to solve computationally complex optimization problems, query databases, or perform ...
Existing reputation systems used by online auction houses do not address the concern of a buyer shopping for commodities—finding a good bargain. These systems do not provide in...
Shai Rubin, Mihai Christodorescu, Vinod Ganapathy,...