Abstract
When driven by an external thermodynamic gradient, non-biological physical systems can exhibit a wide range of behaviours usually associated with living systems. Consequently, Artificial Life researchers should be open to the possibility that there is no hard-and-fast distinction between the biological and the physical. This suggests a novel field of research: the application of biologists’ methods for studying organisms to simple “near-life” phenomena in non-equilibrium physical systems. We illustrate this with some examples, including natural dynamic phenomena such as hurricanes and human artefacts such as photocopiers. This has implications for the notion of agency, which we discuss.
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References
Blackmore, S.: The Meme Machine. Oxford University Press, Oxford (1999)
Clark, A., Chalmers, D.: The extended mind. Analysis 58, 10–23 (1998)
Emanuel, K.A.: The dependence of hurricane intensity on climate. Nature 326, 483–485 (1987)
Gibson, B., Hutchison, C., Pfannkock, C., Venter, J.C., et al.: Complete chemical synthesis, assembly, and cloning of a mycoplasma genitalium genome. Science 319(5867), 1215–1220 (2008)
Kauffman, S.: Investigations. Oxford University Press, US (2000)
Langton, C.: Introduction: Artificial life. In: Langton, C. (ed.) Artificial Life, Santa Fe Institute, Los Alamos, New Mexico (1989)
Lovelock, J.: Gaia: a New Look at Life on Earth. Oxford University Press, Oxford (1987)
Maturana, H.R., Varela, F.J.: Autopoiesis and Cognition: The Realization of the Living. Kluwer Academic Publishers, Dordrecht (1980)
Maturana, H.R., Varela, F.J.: The Tree of Knowledge: The Biological Roots of Human Understanding. Shambhala Publications, Boston (1987)
Oyama, S.: The Ontogeny of Information: Developmental Systems and Evolution. Duke University Press, Durham (2000)
Pearson, J.E.: Complex patterns in a simple system. Science 261, 189–192 (1993)
Prigogine, I.: Time, structure and fluctuations. Science 201(4358), 777–785 (1978)
Ruiz-Mirazo, K., Moreno, A.: Searching for the roots of autonomy: the natural and artificial paradigms revisited. Communication and Cognition–Artificial Intelligence 17, 209–228 (2000)
Schneider, E.D., Kay, J.J.: Life as a manifestation of the second law of thermodynamics. Mathematical and Computer Modelling 19(6-8), 25–48 (1994)
Schrödinger, E.: What is Life? Cambridge University Press, Cambridge (1944)
Shimokawa, S., Kayahara, T., Ozawa, H., Matsuura, T.: On analysis of typhoon activities from a thermodynamic viewpoint (poster). In: Asia Oceania Geosciences Society 4th Annual Meeting, Bangkok (2007)
Virgo, N., Harvey, I.: Reaction-diffusion spots as a model for autopoiesis (abstract). In: Bullock, S., Noble, J., Watson, R., Bedau, M.A. (eds.) Artificial Life XI: Proceedings, Winchester, UK, p. 816. MIT Press, Cambridge (2008)
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McGregor, S., Virgo, N. (2011). Life and Its Close Relatives. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21314-4_29
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DOI: https://doi.org/10.1007/978-3-642-21314-4_29
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