Revenue Maximising Adaptive Auctioneer Agent

  • Janine Claire Pike
  • Elizabeth Marie Ehlers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5357)


Auction theory has proven that auction revenue is influenced by factors such as the auction format and the auction parameters. The Revenue Maximising Adaptive Auctioneer (RMAA) agent model has been developed with the aim of generating maximum auction revenue by adapting the auction format and parameters to suit the auction environment. The RMAA agent uses a learning classifier system to learn which rules are profitable in a particular bidding environment. The profitable rules are then exploited by the RMAA agent to generate maximum revenue. The RMAA agent model can effectively adapt to a real time dynamic auction environment.


Agent auctions auction theory reinforcement learning learning classifier system ZCS 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Janine Claire Pike
    • 1
  • Elizabeth Marie Ehlers
    • 1
  1. 1.Academy for Information TechnologyUniversity of JohannesburgJohannesburgSouth Africa

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