Optimal decision-making with minimal waste: strategyproof redistribution of VCG payments
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Worst-case optimal redistribution of VCG payments
Proceedings of the 8th ACM conference on Electronic commerce
Redistribution mechanisms for assignment of heterogeneous objects
Journal of Artificial Intelligence Research
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In this paper, we seek to design a Groves mechanism for assigning p heterogeneous objects among n competing agents (n p ) with unit demand, satisfying weak budget balance, individual rationality, and minimizing the budget imbalance. This calls for designing an appropriate rebate function. When the objects are identical, this problem has been solved by Moulin [1] and Guo and Conitzer [2]. However, it remains an open problem to design such a rebate function when the objects are heterogeneous. We propose a mechanism, HETERO and conjecture that HETERO is individually rational and weakly budget balanced. We provide empirical evidence for our conjecture through experimental simulations.