Abstract
Organic Computing is the most recent approach in the field of ambient technologies, aiming at the complete integration of technical systems into the space of human action. As such, the application of this type of technology generates severe technical, societal and political problems. These problems are necessarily connected with a proper understanding of the applied technologies, their potentials as well as their limits. A proper understanding is a necessary prerequisite not only for the “philosophical” evaluation of a technology at hand—it is just as relevant to the immanent development of Organic Computing technologies themselves. In order to reach such an understanding it is useful to scrutinise the metaphorical expressions, which are used by the scientist developing the technologies in question. Accordingly the main aim of this article is the systematic analysis of some central metaphors—particularly “evolution” and “self-organisation”. The metaphorical expressions are reconstructed methodologically by applying the culturalist model-procedure, which allows the explication of metaphors in terms of “as if” relations. Based on the results of this reconstruction, the pragmatic and semantic limits and perspectives of Organic Computing can be determined.
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References
Bonik, K., Gutmann, W.F.: Kritische Evolutionstheorie. Gerstenberg, Hildesheim (1981)
Braitenberg, V.: Künstliche Wesen. Vieweg, Braunschweig (1973)
Carnap, R.: Einführung in die Philosophie der Naturwissenschaft. Ullstein, Frankfurt (1986)
Darwin, C.: Origin of Species, vols. 1, 2. AMS, New York (1897)
Eigen, M.: Self-organisation of matter and the evolution of biological macromolecules. Naturwissenschaften 58, 465–522 (1971)
Fisher, R.A.: The Genetical Theory of Natural Selection. New York (1958)
Gould, S.J., Lewontin, R.C.: The spandrels of San Marco and the panglossian paradigm: A critique of the adaptationist programme. Proc. R. Soc. Lond. B, Biol. Sci. 205(1161), 581–598 (1979)
Gutmann, M.: Die Evolutionstheorie und Ihr Gegenstand – Beitrag der Methodischen Philosophie zu Einer Konstruktiven Theorie der Evolution. VWB, Berlin (1996)
Gutmann, M.: Aspects of crustacean evolution. The relevance of morphology for evolutionary reconstruction. In: Gudo, M., Gutmann, M., Scholz, J. (eds.) Concepts of Engineering and Constructional Morphology: Biomechanical Approaches on Fossil and Recent Organisms, vol. 82, pp. 237–266. Senckenbergiana letheia (2002)
Gutmann, M., Janich, P.: Methodologische Grundlagen der Biodiversität. In: Janich, P., Gutmann, M., Prie, K. (eds.) Biodiversität. Wissenschaftliche Grundlagen und gesellschaftliche Relevanz, pp. 281–353. Springer, Berlin (2002)
Gutmann, M., Warnecke, W.: Liefert “Intelligent Design” wissenschaftliche Erklärungen? Religion, Staat, Gesellschaft 7(2) (2006)
Jablonka, E., Lamb, M.J.: Evolution in Four Dimensions. MIT Press, Cambridge (2004)
Janich, P.: Kleine Philosophie der Naturwissenschaften. Beck, München (1997)
Kant, I.: Critique of Judgement. Translated and with Introduction and Notes by Bernard. MacMillan, London (1914)
Kant, I.: Kritik der Reinen Vernunft. Reclam, Stuttgart (1966)
Kauffman, S.: The Origins of Order. Self-organisation and Selection in Evolution. Oxford Univ. Press, New York (1993)
Kohn, D.: The aesthetic construction of Darwin’s theory. In: The Elusive Synthesis: Aesthetics and Science, pp. 13–48. Kluwer Academic, Dordrecht (1997)
König, L., Mostaghim, S., Schmeck, H.: Decentralized evolution of robotic behaviour using finite state machines. Int. J. Intell. Comput. Cybern. 4(2), 695–723 (2009)
Krohn, W., Küppers, G. (eds.): Emergenz Die Entstehung von Ordnung, Organisation und Bedeutung. Suhrkamp, Frankfurt (1992)
Levit, G.S., Meister, K., Hoßfeld, U.: Alternative Evolutionstheorien. In: Krohs, U., Töpfer, G. (eds.) Philosophie der Biologie, pp. 267–286. Suhrkamp, Frankfurt (2005)
Levit, G.S., Meister, K., Hossfeld, U.: Alternative evolutionary theories from the historical perspective. J. Bioecon. 10(1), 71–96 (2010)
Maier, W.: Das Säugercranium als natürliche Konstruktion. Mitteilungen des SFB 230 3, 219–226 (1988)
Müller-Schloer, C., von der Malsburg, C., Würtz, R.P.: Organic Computing. Informatik Spektrum 27(4), 332–336 (2004)
Nachtigall, W.: Bionik. Springer, Berlin (2002)
Nolfi, S., Floreano, D.: Evolutionary Robotics. MIT Press, Cambridge (2000)
Page, D.M., Holmes, E.C.: Molecular Evolution. Blackwell, Oxford (1998)
Prigogine, I.: Vom Sein zum Werden. Piper, München (1979)
Provine, W.B.: The Origines of Theoretical Population Genetics. The University of Chicago Press, Chicago (1992)
Provine, W.B.: The R.A. Fisher-Sewall Wright Controversy. In: Sakhar, S. (ed.) The Founders of Evolutionary Genetics, pp. 201–230. Kluwer Academic, Dordrecht (1992)
Rechenberg, I.: Evolutionsstrategie Optimierung technischer Systeme Nach Prinzipien der biologischen Evolution. Fromman-Holzboog, Stuttgart (1973)
Richter, U., Mnif, M., Branke, J., Müller-Schloer, C., Schmeck, H.: Towards a generic observer/controller architecture for Organic Computing. In: GI Jahrestagung (1), pp. 112–119 (2006)
Roth, G.: Selbstorganisation und Selbstrefentialität. Prinzipien der Organisation von Lebewesen. Dialectic 12, 194–213 (1986)
Schmeck, H., Müller-Schloer, C., Çakar, E., Mnif, M., Richter, U.: Adaptivity and self-organization in organic computing systems. ACM Trans. Auton. Adapt. Syst. 5(3), 1–32 (2010)
Schwarzer, J.: Lernverfahren für evolutionär optimierte Künstliche Neuronale Netze auf der Basis Zellulärer Automaten. Logos, Berlin (2003)
Sober, E.: Reconstructing the Past. MIT Press, Cambridge (1988)
Sulloway, F.J.: Why Darwin rejected intelligent design. J. Biosci. 34(2), 173–183 (2009)
Timm, I.J.: Dynamisches Konfliktmanagement als Verhaltenssteuerung Intelligenter Agenten. Verlagsgesellschaft Berlin, Berlin (2004)
Tooby, J., Cosmides, L.: Conceptual foundations of evolutionary psychology. In: Buss, D.M. (ed.) The Handbook of Evolutionary Psychology, pp. 5–67. Wiley, Hoboken (2005)
Varela, F.: Autonomy and autopoiesis. In: Roth, G., Schweiger, H. (eds.) Selforganizing Systems, pp. 14–23. Campus, Frankfurt (1981)
Wilson, E.O.: Sociobiology. Belknap, Cambridge (2002)
Wright, S.: Evolution in mendelian populations. Genetics 16(1931), 97–159 (1930)
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Gutmann, M., Rathgeber, B., Syed, T. (2011). Organic Computing: Metaphor or Model?. In: Müller-Schloer, C., Schmeck, H., Ungerer, T. (eds) Organic Computing — A Paradigm Shift for Complex Systems. Autonomic Systems, vol 1. Springer, Basel. https://doi.org/10.1007/978-3-0348-0130-0_7
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DOI: https://doi.org/10.1007/978-3-0348-0130-0_7
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