• DocumentCode
    2831254
  • Title

    Adaptive soft bid determination in bidding strategies for continuous double auctions

  • Author

    Ma, Huiye ; Leung, Ho-fung

  • Author_Institution
    Dept. of Comput. Sci. & Eng., The Chinese Univ. of Hong Kong
  • fYear
    2005
  • fDate
    16-16 Nov. 2005
  • Lastpage
    98
  • Abstract
    There are several bidding strategies proposed in the literature for agents in continuous double auctions (CDAs). For most bidding strategies, the asks or bids determined are hard and cannot be compromised. However, for human traders, we notice that the decisions are usually soft and adaptive in different situations. Therefore, we believe that integrating softness and adaptivity into the bidding strategies can enhance the performance of agents. Experimental results confirm that when agents using different bidding strategies make adaptive and soft compromise in various situations, their performance is improved significantly in general. In order to guide agents to adopt soft asks or bids in dynamic and unknown markets, an adaptive mechanism is proposed to adjust the degree of softness of soft asks or bids according to the realtime market context. Experiments results show that agents adopting the adaptive mechanism generally outperform the corresponding agents without the adaptive mechanism
  • Keywords
    electronic commerce; software agents; adaptive mechanism; adaptive soft bid determination; bidding strategies; continuous double auctions; soft asks; soft bids; Application software; Artificial intelligence; Computer science; Electricity supply industry; Electronic commerce; Humans; Licenses; Resource management; Software agents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2488-5
  • Type

    conf

  • DOI
    10.1109/ICTAI.2005.27
  • Filename
    1562921