Author_Institution :
Washington Univ., Seattle, WA, USA
Abstract :
We study truthful mechanisms for auctions in which the auctioneer is trying to hire a team of agents to perform a complex task, and paying them for their work. As common in the field of mechanism design, we assume that the agents are selfish and will act in such a way as to maximize their profit, which in particular may include misrepresenting their true incurred cost. Our first contribution is a new and natural definition of the frugality ratio of a mechanism, measuring the amount by which a mechanism "overpays ", and extending previous definitions to all monopoly-free set systems. After reexamining several known results in light of this new definition, we proceed to study in detail shortest path auctions and \´r-out-of-k sets" auctions. We show that when individual set systems (e.g., graphs) are considered instead of worst cases over all instances, these problems exhibit a rich structure, and the performance of mechanisms may be vastly different. In particular, we show that the well-known VCG mechanism may be far from optimal in these settings, and we propose and analyze a mechanism that is always within a constant factor of optimal.
Keywords :
electronic commerce; security of data; VCG mechanism; monopoly-free set systems; r-out-of-k sets auctions; shortest path auctions; truthful mechanisms; Computer science; Costs; Electronic commerce; Game theory; History; Mechanical factors; Performance analysis; Protocols; Resource management; Tree graphs;