Dynamic multiagent resource allocation: Integrating auctions and MDPs for real-time decisions

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Multiagent resource allocation under uncertainty raises various computational challenges in terms of efficiency such as intractability, communication cost, and preference representation. To date most approaches do not provide efficient solutions for dynamic environments where temporal constraints pose particular challenges. We propose two techniques to cope with such settings: auctions to allocate fairly according to preferences, and MDPs to address stochasticity. This research seeks to determine the ideal combination between the two methods to handle wide range of allocation problems with reduced computation and communication cost between agents.

    Original languageEnglish (US)
    Title of host publicationAAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference
    Pages2394-2395
    Number of pages2
    StatePublished - 2012
    Event26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12 - Toronto, ON, Canada
    Duration: Jul 22 2012Jul 26 2012

    Publication series

    NameProceedings of the National Conference on Artificial Intelligence
    Volume3

    Other

    Other26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12
    CountryCanada
    CityToronto, ON
    Period7/22/127/26/12

    All Science Journal Classification (ASJC) codes

    • Software
    • Artificial Intelligence

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