Evolving 3D Morphology and Behaviour by Competition

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

  author =       "Karl Sims",
  title =        "Evolving {3D} Morphology and Behaviour by
  booktitle =    "Artificial Life IV Proceedings",
  year =         "1994",
  editor =       "R. Brooks and P. Maes",
  pages =        "28--39",
  address =      "MIT, Cambridge, MA, USA",
  publisher_address = "245 First Street, Cambridge, MA 02142, USA",
  month =        "6-8 " # jul,
  organisation = "Thinking Machines Corporation",
  publisher =    "MIT Press",
  keywords =     "genetic algorithms, genetic programming, L-System",
  size =         "12 pages",
  URL =          "http://web.genarts.com/karl/papers/alife94.pdf",
  abstract =     "a system for the evolution and co-evolution of virtual
                 creatures that compete in physically simulated
                 three-dimensional worlds. Pairs of individuals enter
                 one-on-one contests in which they contend to gain
                 control of a common resource. The winners receive
                 higher relative fitness scores allowing them to survive
                 and reproduce. Realistic dynamics simulation including
                 gravity, collisions, and friction, restricts the
                 actions to physically plausible behaviours. The
                 morphology of these creatures and the neural systems
                 for controlling their muscle forces are both
                 genetically determined, and the morphology and behavior
                 can adapt to each other as they evolve simultaneously.
                 The genotypes are structured as directed graphs of
                 nodes and connections, and they can efficiently but
                 flexibly describe instructions for the development of
                 creatures? bodies and control systems with repeating or
                 recursive components. When simulated evolutions are
                 performed with populations of competing creatures,
                 interesting and diverse strategies and
                 counter-strategies emerge.",
  notes =        "from ftp://think.com/users/karl/alife94-preprint.ps
                 see also video in same directory creatures-demo.mpg
                 References to L systems and Graftal grammars for
                 controlling growth of networks or boides.",

Genetic Programming entries for Karl Sims