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TACtic- A Multi Behavioral Agent for Trading Agent Competition

  • Hassan Khosravi
  • Mohammad E. Shiri
  • Hamid Khosravi
  • Ehsan Iranmanesh
  • Alireza Davoodi
Part of the Communications in Computer and Information Science book series (CCIS, volume 6)

Abstract

Software agents are increasingly being used to represent humans in online auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what auctions. They can do this continuously and repetitively without losing concentration. To provide a means of evaluating and comparing (benchmarking) research methods in this area the trading agent competition (TAC) was established. This paper describes the design, of TACtic. Our agent uses multi behavioral techniques at the heart of its decision making to make bidding decisions in the face of uncertainty, to make predictions about the likely outcomes of auctions, and to alter the agent’s bidding strategy in response to the prevailing market conditions.

Keywords

Game Theory Multi behavior intelligent agents online auctions trading agent competition (TAC) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Hassan Khosravi
    • 1
  • Mohammad E. Shiri
    • 1
  • Hamid Khosravi
    • 2
  • Ehsan Iranmanesh
    • 1
  • Alireza Davoodi
    • 1
  1. 1.Department of Computer Science, Faculty of Mathematics and Computer ScienceAmirkabir University of TechnologyTehranIran
  2. 2.International Center for Science & High Technology and Environmental ScienceKermanIran

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