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
Better redistribution with inefficient allocation in multi-unit auctions with unit demand
Proceedings of the 9th ACM conference on Electronic commerce
Efficiency and redistribution in dynamic mechanism design
Proceedings of the 9th ACM conference on Electronic commerce
Optimal-in-expectation redistribution mechanisms
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Redistribution of VCG Payments in Assignment of Heterogeneous Objects
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Proceedings of the 10th ACM conference on Electronic commerce
A budget-balanced, incentive-compatible scheme for social choice
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
Budget-balanced and nearly efficient randomized mechanisms: public goods and beyond
WINE'11 Proceedings of the 7th international conference on Internet and Network Economics
Worst-case optimal redistribution of VCG payments in heterogeneous-item auctions with unit demand
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Generalized Partition Mechanism: Framework for Combining Multiple Strategy-Proof Mechanisms
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Journal of Artificial Intelligence Research
Hi-index | 0.00 |
There are p heterogeneous objects to be assigned to n competing agents (n p) each with unit demand. It is required to design a Groves mechanism for this assignment problem 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 which we refer as WCO mechanism. We measure the performance of such mechanisms by the redistribution index. We first prove an impossibility theorem which rules out linear rebate functions with non-zero redistribution index in heterogeneous object assignment. Motivated by this theorem, we explore two approaches to get around this impossibility. In the first approach, we show that linear rebate functions with non-zero redistribution index are possible when the valuations for the objects have a certain type of relationship and we design a mechanism with linear rebate function that is worst case optimal. In the second approach, we show that rebate functions with non-zero efficiency are possible if linearity is relaxed. We extend the rebate functions of the WCO mechanism to heterogeneous objects assignment and conjecture them to be worst case optimal.