Passing the ALife Test: Activity Statistics Classify Evolution in Geb as Unbounded

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Alastair Channon",
  title =        "Passing the {ALife} Test: Activity Statistics Classify
                 Evolution in {Geb} as Unbounded",
  booktitle =    "Advances in Artificial Life: Proceedings of the Sixth
                 European Conference on Artificial Life (ECAL2001)",
  series =       "Lecture Notes in Computer Science",
  editor =       "Jozef Kelemen and Petr Sosik",
  volume =       "2159",
  pages =        "417--426",
  year =         "2001",
  keywords =     "genetic algorithms, genetic programming, natural
  publisher =    "Springer-Verlag",
  CODEN =        "LNCSD9",
  ISSN =         "0302-9743",
  isbn13 =       "978-3-540-42567-0",
  bibdate =      "Sat Feb 2 13:06:02 MST 2002",
  bibsource =    "",
  URL =          "",
  DOI =          "doi:10.1007/3-540-44811-X_45",
  abstract =     "Bedau and Packard's evolutionary activity statistics
                 [1,2] are used to classify the evolutionary dynamics in
                 Geb [3,4], a system designed to verify and extend
                 theories behind the generation of evolutionary emergent
                 systems. The result is that, according to these
                 statistics, Geb exhibits unbounded evolutionary
                 activity, making it the first autonomous artificial
                 system to pass this test. However, having passed it,
                 the most prudent course of action is to look for
                 weaknesses in the test. Two weaknesses are identified
                 and approaches for overcoming them are proposed.",
  acknowledgement = "Nelson H. F. Beebe, Center for Scientific
                 Computing, University of Utah, Department of
                 Mathematics, 110 LCB, 155 S 1400 E RM 233, Salt Lake
                 City, UT 84112-0090, USA, Tel: +1 801 581 5254, FAX: +1
                 801 581 4148, e-mail: \path||,
                 \path||, \path||,
                 \path|| (Internet), URL:

Genetic Programming entries for Alastair D Channon