TACtic- a multi behavioral agent for trading agent competition

Khosravi H., Shiri M.E., Khosravi H., Iranmanesh E. and Davoodi A. (2008). TACtic- a multi behavioral agent for trading agent competition. In: Advances in Computer Science and Engineering - 13th International CSI Computer Conference, CSICC 2008, Revised Selected Papers. 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, (811-815). March 9, 2008-March 11, 2008. doi:10.1007/978-3-540-89985-3_109


Author Khosravi H.
Shiri M.E.
Khosravi H.
Iranmanesh E.
Davoodi A.
Title of paper TACtic- a multi behavioral agent for trading agent competition
Conference name 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008
Conference location Kish Island
Conference dates March 9, 2008-March 11, 2008
Proceedings title Advances in Computer Science and Engineering - 13th International CSI Computer Conference, CSICC 2008, Revised Selected Papers   Check publisher's open access policy
Journal name Communications in Computer and Information Science   Check publisher's open access policy
Series Communications in Computer and Information Science
Publication Year 2008
Sub-type Fully published paper
DOI 10.1007/978-3-540-89985-3_109
ISBN 3540899847
ISSN 1865-0929
Volume 6 CCIS
Start page 811
End page 815
Total pages 5
Abstract/Summary 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.
Subjects 1700 Computer Science
Keyword Game Theory
intelligent agents
Multi behavior
online auctions
trading agent competition (TAC)
Q-Index Code E1
Institutional Status Unknown

Document type: Conference Paper
Collection: Scopus Import - Archived
 
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Created: Thu, 15 Sep 2016, 02:30:05 EST by Hassan Khosravi on behalf of Learning and Research Services (UQ Library)