EVM Architecture and Complexity

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

  author =       "Mariusz Nowostawski and Martin Purvis",
  title =        "EVM Architecture and Complexity",
  booktitle =    "Artificial Life X. Workshop Proceedings",
  year =         "2006",
  pages =        "105--110",
  address =      "Bloomington, IN, USA",
  month =        "3-7 " # jun,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.alifex.org/program/wkshp_proceed.pdf",
  size =         "6 pages",
  abstract =     "This paper analyses self-organisation starting from
                 embodied systems, i.e. physical systems situated in the
                 real world. We establish four global fundamental
                 properties of self-organisation and further analyse key
                 aspects of local components. As a result we show that:
                 synchronous Cellular Automata (CA) are not
                 self-organised systems; and minimisation of local
                 conflicts produces global optimal self organisation,
                 which is evolutionarily stable. It is also hypothesised
                 that complexity variations may distinguish living from
                 non-living self-organised systems. Conclusions and open
                 avenues for further research close the document.",
  notes =        "future implementation on GPU?",

Genetic Programming entries for Mariusz Nowostawski Martin K Purvis