Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/108863
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Type: Conference paper
Title: Competitive VCG redistribution mechanism for public project problem
Author: Guo, M.
Citation: Proceedings of the 19th International Conference on Principles and Practice of Multi-Agent Systems: PRIMA 2016, 2016 / vol.9862 LNCS, pp.279-294
Publisher: Springer International Publishing
Issue Date: 2016
Series/Report no.: Lecture Notes in Computer Science (LNCS, vol. 9862)
ISBN: 9783319448312
ISSN: 0302-9743
1611-3349
Conference Name: 19th International Conference on Principles and Practice of Multi-Agent Systems: PRIMA 2016 (22 Aug 2016 - 26 Aug 2016 : Phuket, Thailand)
Statement of
Responsibility: 
Mingyu Guo
Abstract: The VCG mechanism has many nice properties, and can be applied to a wide range of social decision problems. One problem of the VCG mechanism is that even though it is efficient, its social welfare (agents' total utility considering payments) can be low due to high VCG payments. VCG redistribution mechanisms aim to resolve this by redistributing the VCG payments back to the agents. Competitive VCG redistribution mechanisms have been found for various resource allocation settings. However, there has been almost no success outside of the scope of allocation problems. This paper focuses on another fundamental model - the public project problem. In Naroditskiy et al. 2012, it was conjectured that competitive VCG redistribution mechanisms exist for the public project problem, and one competitive mechanism was proposed for the case of three agents (unfortunately, both the mechanism and the techniques behind it do not generalize to cases with more agents). In this paper, we propose a competitive mechanism for general numbers of agents, relying on new techniques.
Keywords: VCG redistribution mechanisms, dominant strategy implementation, groves mechanisms, public good provision
Rights: © Springer International Publishing Switzerland 2016
RMID: 0030054692
DOI: 10.1007/978-3-319-44832-9_17
Appears in Collections:Computer Science publications

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