Evolving Autonomous Agent Controllers as Analytical Mathematical Models

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

@InProceedings{Grouchy:2014:ALIFE,
  author =       "Paul Grouchy and Gabriele M. T. D'Eleuterio",
  title =        "Evolving Autonomous Agent Controllers as Analytical
                 Mathematical Models",
  booktitle =    "Proceedings of the Fourteenth International Conference
                 of the Synthesis and Simulation of Living Systems,
                 ALIFE 14",
  year =         "2014",
  editor =       "Hiroki Sayama and John Rieffel and Sebastian Risi and 
                 Rene Doursat and Hod Lipson",
  series =       "Complex Adaptive Systems",
  pages =        "681--688",
  address =      "New York",
  month =        "30 " # jul # "-2 " # aug,
  organisation = "International Society for Artificial Life",
  publisher =    "MIT Press",
  keywords =     "genetic algorithms, genetic programming, Evolvable
                 Mathematical Models",
  isbn13 =       "9780262326216 ?",
  URL =          "http://mitpress.mit.edu/sites/default/files/titles/content/alife14/ch108.html",
  DOI =          "doi:10.7551/978-0-262-32621-6-ch108",
  size =         "8 pages",
  abstract =     "A novel Artificial Life paradigm is proposed where
                 autonomous agents are controlled via genetically
                 encoded Evolvable Mathematical Models (EMMs).
                 Agent/environment inputs are mapped to agent outputs
                 via equation trees which are evolved using Genetic
                 Programming. Equations use only the four basic
                 mathematical operators: addition, subtraction,
                 multiplication and division. Experiments on the
                 discrete Double-T Maze with Homing problem are
                 performed; the source code has been made available.
                 Results demonstrate that autonomous controllers with
                 learning capabilities can be evolved as analytical
                 mathematical models of behaviour, and that
                 neuroplasticity and neuromodulation can emerge within
                 this paradigm without having these special
                 functionalities specified a priori.",
  notes =        "University of Toronto Institute for Aerospace Studies,
                 Toronto, Ontario, Canada M3H 5T6

                 ALIFE 14
                 http://mitpress.mit.edu/books/artificial-life-14
                 ALIFE14NYC@gmail.com",
}

Genetic Programming entries for Paul Grouchy Gabriele M T D'Eleuterio

Citations