Reassignment-based strategy-proof mechanisms for interdependent task allocation

Ayman Ghoneim*

*Corresponding author for this work

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

    Abstract

    Classical mechanism design assumes that an agent's value of any determined outcome depends only on its private information. However in many situations, an agent's value of an outcome depends on the private information of other agents in addition to its private information (i.e., interdependent valuations). We consider the interdependent task allocation (ITA) problem, where a set of tasks with predefined dependencies is to be assigned to self-interested agents based on what they report about their privately known capabilities and costs. We consider the possibility that tasks may fail during their execution, which imposes interdependencies between the agents' valuations. For such ITA problem where agents have private costs, strategy-proof mechanisms have not been proposed yet. In this study, we prove that it is impossible to achieve strategy-proofness if the mechanism uses a single allocation round. Then, we design reassignment-based mechanisms that reassign failing tasks, and prove their strategy-proofness along with investigating the conditions under which center rationality is maintained.

    Original languageEnglish
    Title of host publicationPRIMA 2012
    Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems - 15th International Conference, Proceedings
    PublisherSpringer Verlag
    Pages61-76
    Number of pages16
    ISBN (Print)9783642327285
    DOIs
    Publication statusPublished - 2012
    Event15th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2012 - Kuching, Sarawak, Malaysia
    Duration: 3 Sept 20127 Sept 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7455 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference15th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2012
    Country/TerritoryMalaysia
    CityKuching, Sarawak
    Period3/09/127/09/12

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