Co-evolution of auction mechanisms and strategies: Towards a novel approach to microeconomic design

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@TechReport{oai:CiteSeerPSU:531021,
  title =        "Co-evolution of auction mechanisms and strategies:
                 Towards a novel approach to microeconomic design",
  author =       "Steve Phelps and Simon Parsons and Peter McBurney and 
                 Elizabeth Sklar",
  institution =  "Department of Computer Science, University of
                 Liverpool",
  year =         "2002",
  number =       "ULCS-02-004",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming, Auction
                 mechanisms, Evolutionary computation, Market design,
                 Multi-agent systems (MAS), Resource allocation, Trading
                 strategies",
  citeseer-isreferencedby = "oai:CiteSeerPSU:86458",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:531021",
  rights =       "unrestricted",
  URL =          "http://www.csc.liv.ac.uk/research/techreports/tr2002/tr02004abs.html",
  URL =          "http://www.csc.liv.ac.uk/research/techreports/tr2002/ulcs-02-004.ps",
  URL =          "http://citeseer.ist.psu.edu/531021.html",
  abstract =     "Mechanism design is the economic theory of the design
                 of effective resource allocation mechanisms, such as
                 auctions. Traditionally, economists have approached
                 design problems by studying the analytic properties of
                 different mechanisms. An alternative is to view a
                 mechanism as the outcome of some evolutionary process
                 involving buyers, sellers and the auctioneer. As a
                 first step in this alternative direction, we have
                 applied genetic programming to the development of an
                 auction pricing rule for double auctions in a wholesale
                 electricity marketplace. For this purpose we adopted
                 the multi-agent simulation model of Nicolaisen, Petrov
                 and Tesfatsion.",
  notes =        "ECOMAS???",
  size =         "8 pages",
}

Genetic Programming entries for Steve Phelps Simon Parsons Peter McBurney Elizabeth Sklar

Citations