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Modularity and symmetry in computational embryogeny

Published: 12 July 2008 Publication History

Abstract

Modularity and symmetry are two properties observed in almost every engineering and biological structure. The origin of these properties in nature is still unknown. Yet, as engineers we tend to generate designs which share these properties. In this paper we will report on the origin of these properties in three dimensional evolved structures (phenotypes). The phenotypes were evolved in an evolutionarydevelopmental model of biological structures. The phenotypes were grown under a high volatility stochastic environment. The phenotypes have evolved to function within the environment using the very basic requirements. Even though neither modularity nor symmetry have been directly imposed as part of the requirements, the phenotypes were able to generate these properties after only a few hundred generations. These results may suggest that modularity and symmetry are both very fundamental properties that develop during the early stages of evolution. This result may give insight to the origin of both modularity and symmetry in biological organisms.

References

[1]
G. M. Narbonn. Modular construction of early ediacaran complex life forms. Science, 305(5687):1141--1144, Dec. 2004.
[2]
A. V. M. H. Peter Hammerstein, Edward H. Hagen and H. Herzel. Robustness: A key to evolutionary design. Biological Theory, pages 90--93, Dec. 2006.
[3]
O. Yogev and E. K. Antonsson. Growth and development of continuous structures. GECCO2007, pages 1064--1065, Dec. 2007.

Cited By

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  • (2022)Exploration of the optimal modularity in assembly line designScientific Reports10.1038/s41598-022-24972-212:1Online publication date: 27-Nov-2022
  • (2012)Mechanisms for Complex Systems Engineering Through Artificial DevelopmentMorphogenetic Engineering10.1007/978-3-642-33902-8_13(331-351)Online publication date: 13-Dec-2012

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cover image ACM Conferences
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation
July 2008
1814 pages
ISBN:9781605581309
DOI:10.1145/1389095
  • Conference Chair:
  • Conor Ryan,
  • Editor:
  • Maarten Keijzer
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

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Author Tags

  1. artificial cell
  2. finite element
  3. genetic algorithm
  4. indirect encoding
  5. stresses

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Cited By

View all
  • (2022)Exploration of the optimal modularity in assembly line designScientific Reports10.1038/s41598-022-24972-212:1Online publication date: 27-Nov-2022
  • (2012)Mechanisms for Complex Systems Engineering Through Artificial DevelopmentMorphogenetic Engineering10.1007/978-3-642-33902-8_13(331-351)Online publication date: 13-Dec-2012

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