We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
We study auction-like algorithms for the distributed allocation of tasks to cooperating agents. To reduce the team cost of sequential single-item auction algorithms, we generalize...
Sven Koenig, Craig A. Tovey, Xiaoming Zheng, Ilgaz...
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...
ing and Verifying Strategy-proofness for Auction Mechanisms E. M. Tadjouddine, F. Guerin, and W. Vasconcelos Department of Computing Science, King's College, University of Abe...
Emmanuel M. Tadjouddine, Frank Guerin, Wamberto We...