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4 - Artificial life

Published online by Cambridge University Press:  05 September 2014

Chris Bishop
Affiliation:
Microsoft Research
William Brown
Affiliation:
Darwin College, Cambridge
Andrew Fabian
Affiliation:
Darwin College, Cambridge
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Summary

Living organisms are extraordinary. They have capabilities which far exceed any present-day technology, and it is therefore inevitable that scientists and engineers should seek to emulate at least some of those capabilities in artificial systems. Such an endeavour not only offers the possibility of practical applications, but it also sheds light on the nature of biological systems.

The notion of artificial life can take many diverse forms, and in this article we will focus on three aspects: modelling the development of structure in living systems, the quest to create artificial intelligence, and the emerging field of synthetic biology. All three topics reveal surprising, and sometimes remarkably deep, connections between the apparently disparate disciplines of biology and computer science. There is something else which links these three strands: the Cambridge mathematician Alan Turing (see Figure 4.1) whose birth centennial we celebrated in 2012.

It is widely acknowledged that Turing laid many of the foundations for the field of computer science, although amongst the general public he is perhaps best known for his role in breaking the Enigma and other cyphers at Bletchley Park during the Second World War (Hodges 1992). What is perhaps less widely appreciated is that Turing also made important contributions to biology. As we shall see, each of the three topics discussed in this paper builds on a different seminal contribution made by Turing.

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Chapter
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Life , pp. 61 - 83
Publisher: Cambridge University Press
Print publication year: 2014

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References

Bishop, C. M. 2006. Pattern Recognition and Machine Learning. New York: Springer.Google Scholar
Cardelli, L., and Zavattaro, G.. 2010. ‘Turing Universality of the Biochemical Ground Form’, Mathematical Structures in Computer Science 20 (1): 45–73.CrossRefGoogle Scholar
Hodges, A. 1992. Alan Turing: The Enigma. London: Vintage.Google Scholar
Kondo, S., and Miura, T.. 2010. ‘Reaction-Diffusion Model as a Framework for Understanding Biological Pattern Formation’, Science 329: 1616–20.CrossRefGoogle ScholarPubMed
Pedersen, M., and Phillips, A.. 2009. ‘Towards Programming Languages for Genetic Engineering of Living Cells’, J R Soc Interface 6 Suppl. 4: 437–50.CrossRefGoogle ScholarPubMed
Royal Academy of Engineering. 2009. ‘Synthetic Biology: Scope, Applications, and Implications’. , accessed 3 March 2014.
Service, R. F. 2011. ‘Coming Soon to a Lab Near You: Drag-and-Drop Virtual Worlds’, Science 331: 669–71.CrossRefGoogle ScholarPubMed
Shotton, J., Fitzgibbon, A. W., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A. and Blake, A.. 2011. ‘Efficient Human Pose Estimation from Single Depth Images’, in IEEE Conference on Computer Vision and Pattern Recognition. Trier: Computer Science Bibliography. 1297–304.Google Scholar
Turing, A. M. 1950. ‘Computing Machinery and Intelligence’, Mind 59 (236): 433–60.CrossRefGoogle Scholar
Turing, A. M. 1952. ‘The Chemical Basis of Morphogenesis’, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 237 (641): 37–72.CrossRefGoogle Scholar

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