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Functional Blueprints: An Approach to Modularity in Grown Systems

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Swarm Intelligence (ANTS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6234))

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Abstract

The engineering of grown systems poses fundamentally different system integration challenges than ordinary engineering of static designs. On the one hand, a grown system must be capable of surviving not only in its final form, but at every intermediate stage, despite the fact that its subsystems may grow unevenly or be subject to different scaling laws. On the other hand, the ability to grow offers much greater potential for adaptation, either to changes in the environment or to internal stresses developed as the system grows. I observe that the ability of subsystems to tolerate stress can be used to transform incremental adaptation into the dynamic discovery of viable growth trajectories for the system as a whole. Using this observation, I propose an engineering approach based on functional blueprints, under which a system is specified in terms of desired performance and means of incrementally correcting deficiencies. I demonstrate this approach by applying it to integrate simplified models of tissue growth and vascularization, then further demonstrate how the composed system may itself be modulated for use as a component in a more complex design.

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References

  1. Aubin, J.P.: Viability theory. Birkhäuser, Basel (1991)

    MATH  Google Scholar 

  2. Basu, S., Gerchman, Y., Collins, C.H., Arnold, F.H., Weiss, R.: A synthetic multicellular systems for programmed pattern formation. Nature 434, 1130–1134 (2005)

    Article  Google Scholar 

  3. Beal, J., Bachrach, J.: Infrastructure for engineered emergence in sensor/actuator networks. IEEE Intelligent Systems 21(2), 10–19 (2006)

    Article  Google Scholar 

  4. Carmeliet, P.: Angiogenesis in health and disease. Nat. Med. 9(6), 653–660 (2003)

    Article  Google Scholar 

  5. Carroll, S.B.: Endless Forms Most Beautiful: The New Science of Evo Devo and the Making of the Animal Kingdom. W. W. Norton & Company (2005)

    Google Scholar 

  6. Coore, D.: Botanical Computing: A Developmental Approach to Generating Inter connect Topologies on an Amorphous Computer. Ph.D. thesis, MIT (1999)

    Google Scholar 

  7. Doursat, R.: The growing canvas of biological development: Multiscale pattern generation on an expanding lattice of gene regulatory networks. InterJournal: Complex Systems 1809 (2006)

    Google Scholar 

  8. Kirschner, M.W., Norton, J.C.: The Plausibility of Life: Resolving Darwin’s Dilemma. Yale University Press, New Haven and London (2005)

    Google Scholar 

  9. Kondacs, A.: Biologically-inspired self-assembly of 2d shapes, using global-to-local compilation. In: 18th Int. Joint Conf. on Artificial Intelligence, pp. 633–638 (2003)

    Google Scholar 

  10. MIT Proto. Software available at http://stpg.csail.mit.edu/proto.html (Retrieved March 14, 2010)

  11. Nagpal, R.: Programmable Self-Assembly: Constructing Global Shape using Biologically-inspired Local Interactions and Origami Mathematics. Ph.D. thesis, MIT (2001)

    Google Scholar 

  12. Prusinkiewicz, P., Lindenmayer, A.: The Algorithmic Beauty of Plants. Springer, New York (1990)

    MATH  Google Scholar 

  13. Shetty, R.P., Endy, D., Thomas, F., Knight, J.: Engineering biobrick vectors from biobrick parts. Journal of Biological Engineering 2(5) (2008)

    Google Scholar 

  14. Spicher, A., Michel, O.: Declarative modeling of a neurulation-like process. BioSystems 87(2-3), 281–288 (2006)

    Article  Google Scholar 

  15. Werfel, J., Ingber, D.E., Nagpal, R.: Collective construction of environmentally-adaptive structures. In: 2007 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2345–2352 (2007)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Beal, J. (2010). Functional Blueprints: An Approach to Modularity in Grown Systems. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2010. Lecture Notes in Computer Science, vol 6234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15461-4_16

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  • DOI: https://doi.org/10.1007/978-3-642-15461-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15460-7

  • Online ISBN: 978-3-642-15461-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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