Towards Co-evolution of Information, Life and Artificial Life

  • Masami Hagiya
  • Ibuki Kawamata
Open Access
Conference paper
Part of the Proceedings in Information and Communications Technology book series (PICT, volume 6)


We will begin with a simplified view of systems biology and synthetic biology. Systems biology extracts information from life, while synthetic biology converts information to reality. This cycle allows the co-evolution of life and information, and accelerates the evolution of both. Additionally, the field of molecular robotics has recently emerged. This field is attempting to implement artificial life using biological molecules. We foresee that molecular robots will interface information and life, and the distinction among information, life and artificial life will eventually become a blur. Once molecular robots gain the ability to evolve, then co-evolution of the three will lead to a new stage of intelligence.


  1. 1.
    Bath, J., Turberfield, A.J.: DNA nanomachines. Nat. Nanotechnol. 2(5), 275–284 (2007)CrossRefGoogle Scholar
  2. 2.
    Channon, K., Bromley, E.H.C., Woolfson, D.N.: Synthetic biology through biomolecular design and engineering. Curr. Opin. Struct. Biol. 18(4), 491–498 (2008)CrossRefGoogle Scholar
  3. 3.
    Cho, E.J., Lee, J.W., Ellington, A.D.: Applications of aptamers as sensors. Annu. Rev. Anal. Chem. 2, 241–264 (2009)CrossRefGoogle Scholar
  4. 4.
    Kawamata, I., Hagiya, M.: (2012),
  5. 5.
    Kawamata, I., Tanaka, F., Hagiya, M.: Automatic Design of DNA Logic Gates Based on Kinetic Simulation. In: Deaton, R., Suyama, A. (eds.) DNA 15. LNCS, vol. 5877, pp. 88–96. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  6. 6.
    Kershner, R.J., Bozano, L.D., Micheel, C.M., Hung, A.M., Fornof, A.R., Cha, J.N., Rettner, C.T., Bersani, M., Frommer, J., Rothemund, P.W.K., Wallraff, G.M.: Placement and orientation of individual DNA shapes on lithographically patterned surfaces. Nat. Nanotechnol. 4(9), 557–561 (2009)CrossRefGoogle Scholar
  7. 7.
    Khalil, A.S., Collins, J.J.: Synthetic biology: applications come of age. Nat. Rev. Genet. 11(5), 367–379 (2010)CrossRefGoogle Scholar
  8. 8.
    Kitano, H.: Systems Biology: A Brief Overview. Science 295(5560), 1662–1664 (2002)CrossRefGoogle Scholar
  9. 9.
    Murata, S.: Molecular robotics: A new paradigm for artifacts. New Generation Computing 31(1), 27–45 (2013)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Seeman, N.C.: Nanomaterials based on DNA. Annu. Rev. Biochem. 79, 65–87 (2010)CrossRefGoogle Scholar

Copyright information

© The Author(s) 2013

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (, which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Authors and Affiliations

  • Masami Hagiya
    • 1
  • Ibuki Kawamata
    • 1
  1. 1.Department of Computer Science, Graduate School of Information Science and TechnologyThe University of TokyoBunkyo-kuJapan

Personalised recommendations