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Title: Algorithm Design for Agents which Participate in Multiple Simultaneous Auctions
Author: Chris Preist, Claudio Bartolini, and Ivan Phillips
Book Tittle: Agent-Mediated Electronic Commerce III, Current Issues in Agent-Based Electronic Commerce Systems (includes revised papers from AMEC 2000 Workshop)
Pages: 139--154
Publisher: Springer-Verlag
Year: 2001
ISBN: 3540417494
Abstract: In this paper, we discuss the design of algorithms for agents to use when participating in multiple simultaneous English auctions, aiming to purchase multiple goods. Firstly, we present a coordination algorithm, which ensures the agent places appropriate bids in the different auctions to buy exactly the right number of goods. Secondly, we combine this with an algorithm to determine what maximum bid an agent should place in an auction which is about to terminate. This algorithm combines a belief-based model of the auctions with a utility analysis. This analysis is to trade off the certain outcome of the terminating auction against the possible outcomes of the remaining auctions, and hence place appropriate bids in each.

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@InProceedings{preist01a,
  author =	 {Chris Preist and Claudio Bartolini and Ivan
                  Phillips},
  title =	 {Algorithm Design for Agents which Participate in
                  Multiple Simultaneous Auctions},
  googleid =	 {OvbLTbWV1r8J:scholar.google.com/},
  booktitle =	 {Agent-Mediated Electronic Commerce III, Current
                  Issues in Agent-Based Electronic Commerce Systems
                  (includes revised papers from AMEC 2000 Workshop)},
  year =	 2001,
  isbn =	 {3540417494},
  pages =	 {139--154},
  publisher =	 {Springer-Verlag},
  abstract =	 {In this paper, we discuss the design of algorithms
                  for agents to use when participating in multiple
                  simultaneous English auctions, aiming to purchase
                  multiple goods. Firstly, we present a coordination
                  algorithm, which ensures the agent places
                  appropriate bids in the different auctions to buy
                  exactly the right number of goods. Secondly, we
                  combine this with an algorithm to determine what
                  maximum bid an agent should place in an auction
                  which is about to terminate. This algorithm combines
                  a belief-based model of the auctions with a utility
                  analysis. This analysis is to trade off the certain
                  outcome of the terminating auction against the
                  possible outcomes of the remaining auctions, and
                  hence place appropriate bids in each.},
  keywords =     {multiagent auctions},
  url =		 {http://jmvidal.cse.sc.edu/library/preist01a.pdf},
  cluster = 	 {13823400712187147834}
}
Last modified: Wed Mar 9 10:15:10 EST 2011