Computer Science > Computer Science and Game Theory
[Submitted on 17 Sep 2013 (v1), last revised 30 Sep 2015 (this version, v4)]
Title:Faithful Implementations of Distributed Algorithms and Control Laws
View PDFAbstract:When a distributed algorithm must be executed by strategic agents with misaligned interests, a social leader needs to introduce an appropriate tax/subsidy mechanism to incentivize agents to faithfully implement the intended algorithm so that a correct outcome is obtained. We discuss the incentive issues of implementing economically efficient distributed algorithms using the framework of indirect mechanism design theory. In particular, we show that indirect Groves mechanisms are not only sufficient but also necessary to achieve incentive compatibility. This result can be viewed as a generalization of the Green-Laffont theorem to indirect mechanisms. Then we introduce the notion of asymptotic incentive compatibility as an appropriate solution concept to faithfully implement distributed and iterative optimization algorithms. We consider two special types of optimization algorithms: dual decomposition algorithms for resource allocation and average consensus algorithms.
Submission history
From: Takashi Tanaka [view email][v1] Tue, 17 Sep 2013 16:24:30 UTC (37 KB)
[v2] Sun, 8 Dec 2013 10:16:58 UTC (193 KB)
[v3] Mon, 1 Sep 2014 17:51:57 UTC (231 KB)
[v4] Wed, 30 Sep 2015 22:03:55 UTC (233 KB)
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