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Towards Co-evolution of Information, Life and Artificial Life

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Part of the Proceedings in Information and Communications Technology book series (PICT,volume 6)

Abstract

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.

References

  1. Bath, J., Turberfield, A.J.: DNA nanomachines. Nat. Nanotechnol. 2(5), 275–284 (2007)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  3. Cho, E.J., Lee, J.W., Ellington, A.D.: Applications of aptamers as sensors. Annu. Rev. Anal. Chem. 2, 241–264 (2009)

    CrossRef  Google Scholar 

  4. Kawamata, I., Hagiya, M.: (2012), http://hagi.is.s.u-tokyo.ac.jp/syn-biol/

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  7. Khalil, A.S., Collins, J.J.: Synthetic biology: applications come of age. Nat. Rev. Genet. 11(5), 367–379 (2010)

    CrossRef  Google Scholar 

  8. Kitano, H.: Systems Biology: A Brief Overview. Science 295(5560), 1662–1664 (2002)

    CrossRef  Google Scholar 

  9. Murata, S.: Molecular robotics: A new paradigm for artifacts. New Generation Computing 31(1), 27–45 (2013)

    MathSciNet  CrossRef  Google Scholar 

  10. Seeman, N.C.: Nanomaterials based on DNA. Annu. Rev. Biochem. 79, 65–87 (2010)

    CrossRef  Google Scholar 

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Hagiya, M., Kawamata, I. (2013). Towards Co-evolution of Information, Life and Artificial Life. In: Suzuki, Y., Nakagaki, T. (eds) Natural Computing and Beyond. Proceedings in Information and Communications Technology, vol 6. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54394-7_4

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  • DOI: https://doi.org/10.1007/978-4-431-54394-7_4

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-54393-0

  • Online ISBN: 978-4-431-54394-7

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