Measuring Spatiotemporal Coordination in a Modular Robotic System

Created by W.Langdon from gp-bibliography.bib Revision:1.4020

  author =       "Mikhail Prokopenko and Vadim Gerasimov and 
                 Ivan Tanev",
  title =        "Measuring Spatiotemporal Coordination in a Modular
                 Robotic System",
  booktitle =    "Artificial Life X: Proceedings of the Tenth
                 International Conference on the Simulation and
                 Synthesis of Living Systems",
  year =         "2006",
  editor =       "Luis Mateus Rocha and Larry S. Yaeger and 
                 Mark A. Bedau and Dario Floreano and Robert L. Goldstone and 
                 Alessandro Vespignani",
  pages =        "185--191",
  month =        "3-7 " # jun,
  publisher =    "MIT Press",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-262-68162-5",
  URL =          "",
  size =         "7 pages",
  abstract =     "we propose and verify spatiotemporal measures of
                 coordination in a modular robotic system. These
                 information-theoretic measures estimate the generalised
                 correlation entropy K2 and the generalized excess
                 entropy E2 computed over a multivariate time series of
                 actuators states, while standard deviation of E2 is
                 minimised over both space and time. Actuators are shown
                 to be well-coordinated in individuals with fastest
                 locomotion. These results support our conjecture that
                 direct fitness functions can be approximated with
                 generic selection pressures, leading towards
                 information-driven evolutionary design.",
  notes =        "

Genetic Programming entries for Mikhail Prokopenko Vadim Gerasimov Ivan T Tanev