Skip to main content

On Form and Function: The Evolution of Developmental Control

  • Chapter
Design by Evolution

Part of the book series: Natural Computing Series ((NCS))

  • 1265 Accesses

Abstract

How does the genome control the construction of a complex multi-cellular system with well defined form and structures from a single cell? Artificial life and developmental biology overlap on some quite important topics. The question above reveals two such pivotal topics: construction and control.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bentley, P.: Adaptive fractal gene regulatory networks for robot control. In: J. Miller (ed.) Genetic and Evolutionary Computation Conference Workshop Proceedings — Workshop on Regeneration and Learning in Developmental Systems (2004).

    Google Scholar 

  2. Bongard, J.: Evolving modular genetic regulatory networks. In: Proceedings of the 2002 IEEE Congress on Evolutionary Computation (CEC 2002), pp. 1872–1877 (2002)

    Google Scholar 

  3. Davidson, E.: Genomic Regulatory Systems: Development and Evolution. Academic Press (2002)

    Google Scholar 

  4. Dellaert, F.: Towards a biologically defensible model of development. Master’s thesis, Case Western Reserve University (1995)

    Google Scholar 

  5. Eggenberger, P.: Evolving morphologies of simulated 3D organisms based on differential gene expression. In: Proceedings of the Fourth European Conference on Artificial Life, pp. 205–213 (1997)

    Google Scholar 

  6. Frazer, J.: An Evolutionary Architecture. Architectural Association Publications (1995)

    Google Scholar 

  7. Gerkey, B., Vaughan, R., Howard, A.: The player/stage project: tools for multirobot and distributed sensor systems. In: Proceedings of the 11th International Conference on Advanced Robotics (2003)

    Google Scholar 

  8. Jakobi, N.: Harnessing morphogenesis. In: Proceedings of the International Conference on Information Processing in Cells and Tissues (1995)

    Google Scholar 

  9. Jiang, T., Wideltz, R., Shen, W., Will, P., Wu, D., Lin, C., Jung, J., Chuong, C.: Integument pattern formation involves genetic and epigenetic controls operated at different levels: feather arrays simulated by a digital hormone model. International Journal on Developmental Biology (2004)

    Google Scholar 

  10. Kerszberg, M., Changeux, J.: A simple molecular model of neurulation. BioEssays 20, 758–770 (1998)

    Article  Google Scholar 

  11. Kicinger, R., Arciszewski, T., De Jong, K.: Evolutionary design of steel structures in tall buildings. Journal of Computing in Civil Engineering 19(3), 223–238 (2005)

    Article  Google Scholar 

  12. Kitano, H.: Designing neural networks using genetic algorithms with graph generation system. Complex Systems 4(4), 461–476 (1990)

    MATH  Google Scholar 

  13. Kumar, S.: A developmental biology inspired approach to robot control. In: Proceedings of the Artificial Life 9 Conference (2004)

    Google Scholar 

  14. Kumar, S.: Investigating computational models of development for the construction of shape and form. Ph.D. thesis, University College London (2004)

    Google Scholar 

  15. Kumar, S., Bentley, P.: On Growth, Form and Computers. Elsevier Academic Press (2004)

    Google Scholar 

  16. Lewin, B.: Genes VI. Oxford University Press (1999)

    Google Scholar 

  17. Marcus, G.: The Birth of the Mind. Basic Books (2004)

    Google Scholar 

  18. Mondada, F., Floreano, D.: Evolution of neural control structures: Some experiments on mobile robots. Robotics and Autonomous Systems 16(2–4), 183–195 (1995)

    Article  Google Scholar 

  19. Prusinkiewicz, P., Lindenmeyer, A., Hanan, J.: Developmental models of herbaceous plants for computer imagery purposes. In: Proceedings of the 15th Annual Conference on Computer Graphics and Interactive Techniques (1988)

    Google Scholar 

  20. Quick, T., Dautenhahn, K., Nehaniv, C., Roberts, G.: Evolving embodied genetic regulatory network-driven control systems. In: Proceedings of the 7th European Conference on Artificial Life (ECAL 2003) (2003)

    Google Scholar 

  21. Schultz, A., Grefenstette, J.: Evolving robot behaviors. In: Proceedings of the 1994 Artificial Life Conference (1994)

    Google Scholar 

  22. Shen, W., Salemi, B., Will, P.: Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots. IEEE Transactions on Robotics and Automation 18(5) (2002)

    Google Scholar 

  23. Taylor, T.: A genetic regulatory network-inspired real-time controller for a group of underwater robots. In: Proceedings of Intelligent Autonomous Systems 8, pp. 403–412 (2004)

    Google Scholar 

  24. Wolpert, L., Beddington, R., Brockes, J., Meyerowitz, E.: Principles of Development. Oxford University Press (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kumar, S. (2008). On Form and Function: The Evolution of Developmental Control. In: Hingston, P.F., Barone, L.C., Michalewicz, Z. (eds) Design by Evolution. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74111-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74111-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74109-1

  • Online ISBN: 978-3-540-74111-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics