• DocumentCode
    1620983
  • Title

    Applying evolutionary game theory to auction mechanism design

  • Author

    Byde, Andrew

  • Author_Institution
    HP Labs, Bristol, UK
  • fYear
    2003
  • Firstpage
    347
  • Lastpage
    354
  • Abstract
    We describe an evolution-based method for evaluating auction mechanisms, and apply it to a space of mechanisms including the standard first-price and second-price sealed bid auctions. We replicate results known already in the auction theory literature regarding the suitability of different mechanisms for different bidder environments, and extend the literature by establishing the superiority of novel mechanisms over standard mechanisms, for commonly occurring scenarios. Thus this paper simultaneously extends auction theory, and provides a systematic method for further such extensions.
  • Keywords
    costing; electronic money; electronic trading; evolutionary computation; game theory; auction mechanism design; auction mechanism evaluation; auction theory; autonomous agents; bidder environment; evolution based method; evolutionary game theory; first-price sealed bid auction; genetic algorithm; mechanism suitability; multiagent allocation problem; second-price sealed bid auction; systematic method; Algorithm design and analysis; Autonomous agents; Design automation; Environmental economics; Game theory; Genetic algorithms; Humans; Marketing and sales; Multiagent systems; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Commerce, 2003. CEC 2003. IEEE International Conference on
  • Print_ISBN
    0-7695-1969-5
  • Type

    conf

  • DOI
    10.1109/COEC.2003.1210270
  • Filename
    1210270