Automated mechanism design with co-evolutionary hierarchical genetic programming techniques

Created by W.Langdon from gp-bibliography.bib Revision:1.4215

  author =       "John A. Doucette and Darren Abramson",
  title =        "Automated mechanism design with co-evolutionary
                 hierarchical genetic programming techniques",
  booktitle =    "GECCO '12: Proceedings of the fourteenth international
                 conference on Genetic and evolutionary computation
  year =         "2012",
  editor =       "Terry Soule and Anne Auger and Jason Moore and 
                 David Pelta and Christine Solnon and Mike Preuss and 
                 Alan Dorin and Yew-Soon Ong and Christian Blum and 
                 Dario Landa Silva and Frank Neumann and Tina Yu and 
                 Aniko Ekart and Will Browne and Tim Kovacs and 
                 Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and 
                 Giovanni Squillero and Nicolas Bredeche and 
                 Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and 
                 Martin Pelikan and Silja Meyer-Nienberg and 
                 Christian Igel and Greg Hornby and Rene Doursat and 
                 Steve Gustafson and Gustavo Olague and Shin Yoo and 
                 John Clark and Gabriela Ochoa and Gisele Pappa and 
                 Fernando Lobo and Daniel Tauritz and Jurgen Branke and 
                 Kalyanmoy Deb",
  isbn13 =       "978-1-4503-1177-9",
  pages =        "935--942",
  keywords =     "genetic algorithms, genetic programming, integrative
                 genetic and evolutionary computation",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330163.2330293",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "We present a novel form of automated game theoretic
                 mechanism design in which mechanisms and players
                 co-evolve. We also model the memetic propagation of
                 strategies through a population of players, and argue
                 that this process represents a more accurate depiction
                 of human behavior than conventional economic models.
                 The resulting model is evaluated by evolving mechanisms
                 for the ultimatum game, and replicates the results of
                 empirical studies of human economic behaviors, as well
                 as demonstrating the ability to evaluate competing
                 hypothesizes for the creation of economic incentives.",
  notes =        "Also known as \cite{2330293} GECCO-2012 A joint
                 meeting of the twenty first international conference on
                 genetic algorithms (ICGA-2012) and the seventeenth
                 annual genetic programming conference (GP-2012)",

Genetic Programming entries for John Doucette Darren Abramson