Steps Toward a Modular Library for Turning Any Evolutionary Domain into an Online Interactive Platform

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Szerlip:2014:ALIFE,
  author =       "Paul Szerlip and Kenneth O. Stanley",
  title =        "Steps Toward a Modular Library for Turning Any
                 Evolutionary Domain into an Online Interactive
                 Platform",
  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 =        "900--907",
  address =      "New York",
  month =        "30 " # jul # "-2 " # aug,
  organisation = "International Society for Artificial Life",
  publisher =    "MIT Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "9780262326216 ?",
  URL =          "http://mitpress.mit.edu/sites/default/files/titles/content/alife14/ch147.html",
  DOI =          "doi:10.7551/978-0-262-32621-6-ch147",
  size =         "8 pages",
  abstract =     "Natural evolution inspires the fields of evolutionary
                 computation (EC) and artificial life (ALife). A
                 prominent feature of natural evolution is that it
                 effectively never ends. However, most EC and ALife
                 experiments are only run for several days or weeks at a
                 time. Once an experiment concludes, reproducing,
                 observing, or extending the results often requires
                 considerable effort. In contrast, some Collaborative
                 Interactive Evolution (CIE) systems, e.g. Picbreeder,
                 were designed to preserve results as potential stepping
                 stones to build upon later while taking advantage of
                 human insight to solve challenging problems.
                 Traditionally, building long-running and open
                 experiments similar to Picbreeder presents a complex
                 and time consuming software challenge. To reduce this
                 challenge and thereby remove the barrier to situating
                 almost any experiment within an interactive on line
                 framework, this paper presents the initial prototype
                 for Worldwide Infrastructure for Neuroevolution (WIN).
                 Built in the model of Picbreeder, WIN is a modular
                 library for significantly reducing the complexity of
                 creating fully persistent, online, and interactive
                 evolutionary platforms for any new or existing domain.
                 WIN Online, the public interface for WIN, provides an
                 online collection of domains built with WIN that lets
                 novice and expert users browse and meaningfully
                 contribute to ongoing experiments. Two example
                 experiments in this paper demonstrate WIN's potential
                 to quickly bootstrap any evolutionary domain with
                 online and interactive capabilities.",
  notes =        "Dept. of EECS (Computer Science Division), University
                 of Central Florida, Orlando, FL 32816

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

Genetic Programming entries for Paul Szerlip Kenneth O Stanley

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