Preference-based English reverse auctions

被引:15
|
作者
Bellosta, Marie-Jo [1 ]
Kornman, Sylvie [1 ]
Vanderpooten, Daniel [1 ]
机构
[1] Univ Paris Dauphine Lamsade, F-75775 Paris 16, France
关键词
Preference-based auctions; Multiple criteria decision analysis; Multi-attribute English reverse auctions; Non-transitive and partial preferences; Automated agents; MULTIATTRIBUTE; INTRANSITIVITY; AGGREGATION; NEGOTIATION; PROCUREMENT; UTILITY; AGENT;
D O I
10.1016/j.artint.2010.11.015
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies English reverse auctions within a unified framework for preference-based English reverse auctions. In this context, and particularly for electronic auctions, representing and handling the buyer's preferences, so as to enable him/her to obtain the best possible outcome, is a major issue. Existing auction mechanisms, which are based on single or multi-attribute utility functions, are only able to represent transitive and complete preferences. It is well known, however, in the preference modeling literature that more general preference structures, allowing intransitivity and incomparability, are more appropriate to capture preferences. On the other hand, we must also consider properties on the evolution and, above all, on the outcome of any auction executed by an auction mechanism. These properties, as well as properties of non-dominance and fair competition defined for multiple criteria auctions, impose restrictions on the preference relation. This leaves room for interesting preference models to be implemented within English reverse auction mechanisms. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1449 / 1467
页数:19
相关论文
共 50 条
  • [1] Preference-based Teaching
    Gao, Ziyuan
    Ries, Christoph
    Simon, Hans U.
    Zilles, Sandra
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2017, 18 : 1 - 32
  • [2] Preference-based unawareness
    Schipper, Burkhard C.
    [J]. MATHEMATICAL SOCIAL SCIENCES, 2014, 70 : 34 - 41
  • [3] Preference-based belief operators
    Asheim, GB
    Sovik, Y
    [J]. MATHEMATICAL SOCIAL SCIENCES, 2005, 50 (01) : 61 - 82
  • [4] Applying Preference-based Customization
    Liaskos, Sotirios
    Rogozhkin, Vyacheslav
    [J]. 2011 19TH IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE), 2011, : 353 - +
  • [5] Preference-based group scheduling
    Hu, J
    Brzozowski, M
    [J]. HUMAN-COMPUTER INTERACTION - INTERACT 2005, PROCEEDINGS, 2005, 3585 : 990 - 993
  • [6] Preference-Based Trajectory Generation
    Lennon, Jamie A.
    Atkins, Ella M.
    [J]. JOURNAL OF AEROSPACE COMPUTING INFORMATION AND COMMUNICATION, 2009, 6 (03): : 142 - 170
  • [7] Preference-based learning to rank
    Nir Ailon
    Mehryar Mohri
    [J]. Machine Learning, 2010, 80 : 189 - 211
  • [8] Preference-based MPC calibration
    Zhu, Mengjia
    Bemporad, Alberto
    Piga, Dario
    [J]. 2021 EUROPEAN CONTROL CONFERENCE (ECC), 2021, : 638 - 645
  • [9] Preference-based search for scheduling
    Junker, U
    [J]. SEVENTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-2001) / TWELFTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE (IAAI-2000), 2000, : 904 - 909
  • [10] A framework for multiple criteria English reverse auctions
    Bellosta, MJ
    Kornman, S
    Vanderpooten, D
    [J]. 2005 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY, PROCEEDINGS, 2005, : 633 - 639