Using Adaptive Agents to Study Bilateral Contracts and Trade Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Mona T. Bisat and Charles W. Richter and 
                 Gerald B. Sheble",
  title =        "Using Adaptive Agents to Study Bilateral Contracts and
                 Trade Networks",
  booktitle =    "Late Breaking Papers at the Genetic Programming 1998
  year =         "1998",
  editor =       "John R. Koza",
  pages =        "23--27",
  address =      "University of Wisconsin, Madison, Wisconsin, USA",
  publisher_address = "Stanford, CA, USA",
  month =        "22-25 " # jul,
  publisher =    "Stanford University Bookstore",
  keywords =     "genetic algorithms, genetic programming, electricity
                 transmission capacity, trade network game, double
                 auction bid, power utility",
  URL =          "",
  size =         "5 pages",
  abstract =     "This research is an extension of research done by
                 Charles Richter, Gerald Sheble' and Dan Ashlock (1997,
                 1998) on double auction bidding strategies for electric
                 utilities which trade competitively. This research
                 considers the network topology and whether a successful
                 bid transaction can occur given the flow constraints on
                 the network. The ATC (Available Transmission Capacity)
                 of the network is a flow constraint indicator that is
                 used to provide feedback to agents attempting to engage
                 in bilateral contracts. The aim is to develop adaptive
                 agents that are able to recognize with whom they can
                 enter a profitable bilateral contract. In other words,
                 the agents develop preferential partner selection lists
                 and bidding strategies in a simulated electric market.
                 The idea of evolving preferred trading partner lists
                 comes from the Trade Network Game (TNG) developed by
                 Tesfatsion, Ashlock and Stanley (1995). The strategies
                 being developed by the method described here are
                 adaptive. The strategies are encoded in GP-Automata, a
                 technique which combines genetic programming and finite
                 state automata.",
  notes =        "GP-98LB",

Genetic Programming entries for Mona T Bisat Charles W Richter Jr Gerald B Sheble