Economic Models of Innovations: Why GP Can Be a Possible Way Out?

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Shu-heng Chen and Bin-tzong Chie",
  title =        "Economic Models of Innovations: Why {GP} Can Be a
                 Possible Way Out?",
  booktitle =    "AAAI Spring Symposium, Computational Synthesis: From
                 Basic Building Blocks to High Level Functionality",
  year =         "2003",
  editor =       "Hod Lipson and Erik K. Antonsson and John R. Koza",
  number =       "SS-03-02",
  series =       "AAAI Technical Report",
  publisher_address = "Menlo Park, California, USA",
  publisher =    "The AAAI Press",
  keywords =     "genetic algorithms, genetic programming",
  bibsource =    "OAI-PMH server at",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  URL =          "",
  URL =          "",
  URL =          "",
  abstract =     "No matter how commonly the term innovation has been
                 used in economics, a concrete analytical or
                 computational model of innovation is not yet available.
                 This paper argues that a breakthrough can be made with
                 genetic programming, and proposes a
                 functional-modularity approach to an agent-based
                 computational economic model of innovation.",

Genetic Programming entries for Shu-Heng Chen Bin-Tzong Chie