A market-affected sealed-bid auction protocol

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

    Abstract

    Multiagent resource allocation defines the issue of having to distribute a set of resources among a set of agents, aiming at a fair and efficient allocation. Resource allocation procedures can be evaluated with regard to properties such as budget balance and strategy-proofness. Designing a budget-balanced and strategy-proof allocation procedure that always provides a fair (namely, envy-free) and efficient (namely, Pareto-optimal) allocation poses a true challenge. To the best of our knowledge, none of the existing procedures combines all four properties. Moreover, in previous literature no attention is given to the allocation of unwanted resources (i.e., resources that seem to be of no use for all agents) in a way as to maximize social welfare. Yet, dealing inappropriately with unwanted resources may decrease each agent's benefit. Therefore, we extend the scope of sealed-bid auctions by means of involving market prices so as to always provide an optimal solution under consideration of each agent's preferences. We present a new market-affected sealed-bid auction protocol (MSAP) where agents submit sealed bids on indivisible resources, and we allow monetary side-payments. We show this protocol to be budget-balanced and weakly strategy-proof, and to always provide an allocation that maximizes both utilitarian and egalitarian social welfare, and is envy-free and Pareto-optimal. © Springer-Verlag Berlin Heidelberg 2010.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages193-202
    Number of pages9
    Volume6040
    ISBN (Print)3642128416, 9783642128417
    Publication statusPublished - 2010
    Event6th Hellenic Conference on Artificial Intelligence: Theories, Models and Applications, SETN 2010 - Athens
    Duration: 1 Jul 2010 → …

    Publication series

    NameLecture Notes in Computer Science

    Conference

    Conference6th Hellenic Conference on Artificial Intelligence: Theories, Models and Applications, SETN 2010
    CityAthens
    Period1/07/10 → …

    Keywords

    • Auctions
    • Multiagent resource allocation
    • Multiagent systems

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