Dominance relation based ranking procedure for automated reverse auctions

Imène Brigui, Salem Chakhar

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

    Abstract

    Most of existing multicriteria auctions systems are very demanding in terms of preference parameters, which requires a considerable cognitive effort from the buyer. In this paper, we propose an auction approach that relies on a combination between Agent systems and dominance relation-based ranking procedure, allowing a buyer agent to manage automatic preference-based English reverse and adaptive auctions. The ranking procedure is based on the dominance relation, which is the most elementary preference information. Within the proposed approach, no aggregation is needed and the ranking procedure will not ask any additional information from the buyer, permitting thus to considerably reduce his/her cognitive effort.
    Original languageEnglish
    Title of host publicationProgresses in Artificial Intelligence & Robotics: Algorithms & Applications. Proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021
    EditorsLuigi Troiano, Alfredo Vaccaro, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui
    Place of PublicationSpringer, Cham
    PublisherSpringer
    Pages137–145
    Number of pages9
    ISBN (Electronic)9783030985318
    ISBN (Print)9783030985301
    DOIs
    Publication statusPublished - 10 Apr 2022
    Event3rd International Conference on Deep Learning, Artificial Intelligence and Robotics - Salerno, Italy
    Duration: 13 Dec 202120 Dec 2021

    Publication series

    NameLecture Notes in Networks and Systems
    Volume441
    ISSN (Print)2367-3370
    ISSN (Electronic)2367-3389

    Conference

    Conference3rd International Conference on Deep Learning, Artificial Intelligence and Robotics
    Abbreviated titleICDLAIR 2021
    Country/TerritoryItaly
    CitySalerno
    Period13/12/2120/12/21

    Keywords

    • multicriteria English auctions
    • multiagent systems
    • ranking procedure

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