Dominance relation based ranking procedure for automated reverse auctions

Imène Brigui, Salem Chakhar

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

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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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