Measuring Spatiotemporal Coordination in a Modular Robotic System

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{Prokopenko:2006:AL,

• 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 = "http://www.ict.csiro.au/staff/mikhail.prokopenko/Publications/Agents/Snakebot-Alife-corrected.pdf",
• 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 = "http://www.alifex.org/program/alifex_program.pdf http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=11018",

}

Genetic Programming entries for Mikhail Prokopenko Vadim Gerasimov Ivan T Tanev

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