Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects

<p>A natural goal in designing mechanisms for auctions and public projects is to maximize the social welfare while incentivizing players to bid truthfully. If these are the only concerns, the problem is easily solved by use of the VCG mechanism. Unfortunately, this mechanism is not computation...

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Main Author: Buchfuhrer, David Isaac
Format: Others
Published: 2011
Online Access:https://thesis.library.caltech.edu/6424/4/buchfuhrer_phd_thesis-final.pdf
Buchfuhrer, David Isaac (2011) Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/N0M7-C473. https://resolver.caltech.edu/CaltechTHESIS:05242011-112814785 <https://resolver.caltech.edu/CaltechTHESIS:05242011-112814785>
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spelling ndltd-CALTECH-oai-thesis.library.caltech.edu-64242019-10-10T03:02:40Z Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects Buchfuhrer, David Isaac <p>A natural goal in designing mechanisms for auctions and public projects is to maximize the social welfare while incentivizing players to bid truthfully. If these are the only concerns, the problem is easily solved by use of the VCG mechanism. Unfortunately, this mechanism is not computationally efficient in general and there are currently no other general methods for designing truthful mechanisms. However, it is possible to design computationally efficient VCG-based mechanisms which approximately maximize the social welfare.</p> <p>We explore the design space of computationally efficient VCG-based mechanisms under submodular valuations and show that the achievable approximation guarantees are poor, even compared to efficient non-truthful algorithms. Some of these approximation hardness results stem from an asymmetry in the information available to the players versus that available to the mechanism. We develop an alternative Instance Oracle model which reduces this asymmetry by allowing the mechanism to access some computational capabilities of the players. By building assumptions about player computation into the model, a more realistic study of mechanism design can be undertaken.</p> <p>Finally, we give VCG-based mechanisms for some problems in the Instance Oracle model which achieve provably better approximations than the best VCG-based mechanism in the standard model. However, for other problems we give reductions in the Instance Oracle model which prove inapproximability results as strong as those shown in the standard model. These provide more robust hardness results that are not simply artifacts of the asymmetry in the standard model.</p> 2011 Thesis NonPeerReviewed application/pdf https://thesis.library.caltech.edu/6424/4/buchfuhrer_phd_thesis-final.pdf https://resolver.caltech.edu/CaltechTHESIS:05242011-112814785 Buchfuhrer, David Isaac (2011) Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/N0M7-C473. https://resolver.caltech.edu/CaltechTHESIS:05242011-112814785 <https://resolver.caltech.edu/CaltechTHESIS:05242011-112814785> https://thesis.library.caltech.edu/6424/
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description <p>A natural goal in designing mechanisms for auctions and public projects is to maximize the social welfare while incentivizing players to bid truthfully. If these are the only concerns, the problem is easily solved by use of the VCG mechanism. Unfortunately, this mechanism is not computationally efficient in general and there are currently no other general methods for designing truthful mechanisms. However, it is possible to design computationally efficient VCG-based mechanisms which approximately maximize the social welfare.</p> <p>We explore the design space of computationally efficient VCG-based mechanisms under submodular valuations and show that the achievable approximation guarantees are poor, even compared to efficient non-truthful algorithms. Some of these approximation hardness results stem from an asymmetry in the information available to the players versus that available to the mechanism. We develop an alternative Instance Oracle model which reduces this asymmetry by allowing the mechanism to access some computational capabilities of the players. By building assumptions about player computation into the model, a more realistic study of mechanism design can be undertaken.</p> <p>Finally, we give VCG-based mechanisms for some problems in the Instance Oracle model which achieve provably better approximations than the best VCG-based mechanism in the standard model. However, for other problems we give reductions in the Instance Oracle model which prove inapproximability results as strong as those shown in the standard model. These provide more robust hardness results that are not simply artifacts of the asymmetry in the standard model.</p>
author Buchfuhrer, David Isaac
spellingShingle Buchfuhrer, David Isaac
Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects
author_facet Buchfuhrer, David Isaac
author_sort Buchfuhrer, David Isaac
title Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects
title_short Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects
title_full Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects
title_fullStr Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects
title_full_unstemmed Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects
title_sort limits on computationally efficient vcg-based mechanisms for combinatorial auctions and public projects
publishDate 2011
url https://thesis.library.caltech.edu/6424/4/buchfuhrer_phd_thesis-final.pdf
Buchfuhrer, David Isaac (2011) Limits on Computationally Efficient VCG-Based Mechanisms for Combinatorial Auctions and Public Projects. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/N0M7-C473. https://resolver.caltech.edu/CaltechTHESIS:05242011-112814785 <https://resolver.caltech.edu/CaltechTHESIS:05242011-112814785>
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