A Finite Automaton Learning System Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Herman H. Ehrenburg and H. A. N. {van Maanen}",
  title =        "A Finite Automaton Learning System Using Genetic
  institution =  "Department of Computer Science, CWI, Centrum voor
                 Wiskunde en Informmatica",
  year =         "1994",
  type =         "NeuroColt Tech Rep",
  number =       "CS-R9458",
  address =      "CWI, P.O. Box 94079, 1090 GB Amsterdam, The
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Computing, finite automata",
  URL =          "ftp://ftp.cwi.nl/pub/CWIreports/AA/CS-R9458.ps.Z",
  URL =          "http://ftp.cwi.nl/CWIreports/AA/CS-R9458.pdf",
  URL =          "http://www.neurocolt.org/abs/1995/../../tech_reps/1995/nc-tr-95-009.ps.gz",
  URL =          "http://citeseer.ist.psu.edu/427245.html",
  abstract =     "This report describes the Finite Automaton Learning
                 System (FALS), an evolutionary system that is designed
                 to find small digital circuits that duplicate the
                 behavior of a given finite automaton. FALS is developed
                 with the aim to get a better insight in learning
                 systems. It is also targeted to become a general
                 purpose automatic programming system.

                 The system is based on the genetic programming approach
                 to evolve programs for tasks instead of explicitly
                 programming them. A representation of digital circuits
                 suitable for genetic programming is given as well as an
                 extended crossover operator that alleviates the need to
                 specify an upper bound for the number of states in
  notes =        "

                 Also available as NC-TR-95-009",
  size =         "40 pages",

Genetic Programming entries for Herman Ehrenburg Jeroen van Maanen