Equilibrium Selection Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Shu-Heng Chen and John Duffy and Chia-Hsuan Yeh",
  title =        "Equilibrium Selection Using Genetic Programming",
  booktitle =    "Progress in Neural Information Precessing: Proceedings
                 of the International Conference on Neural Information
                 Processing (ICONIP'96)",
  year =         "1996",
  editor =       "S. Amari and L. Xu and L. Chan and I. King and 
                 K. Leung",
  volume =       "2",
  pages =        "1341--1346",
  address =      "Hong Kong Convention and Exhibition Center, Hong
  publisher_address = "Singapore",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "981-3083-04-2",
  URL =          "ftp://econo.nccu.edu.tw/AI-ECON/YEH/1996/ICONIP96/iconip96.ps",
  URL =          "http://citeseer.ist.psu.edu/rd/6296950%2C323448%2C1%2C0.25%2CDownload/http://citeseer.ist.psu.edu/cache/papers/cs/15814/ftp:zSzzSzecono.nccu.edu.twzSzAI-ECONzSzYEHzSz1996zSzICONIP96zSziconip96.pdf/equilibrium-selection-using-genetic.pdf",
  URL =          "http://citeseer.ist.psu.edu/323448.html",
  size =         "8 pages",
  abstract =     "We use genetic programming techniques developed by
                 Koza (1992) to model the behaviour of a population of
                 heterogeneous agents playing a simple coordination game
                 with multiple equilibria. We compare the results from
                 our computational experiments with results obtained
                 from a number of controlled laboratory experiments
                 conducted by Van Huyck et al. (1994) where human
                 subjects played the same coordination game. We nd that
                 the behavior exhibited by our population of
                 artificially intelligent...",
  notes =        "


Genetic Programming entries for Shu-Heng Chen John Duffy Chia Hsuan Yeh