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The Info-computational Nature of Morphological Computing

  • Gordana Dodig-CrnkovicEmail author
Chapter
Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE, volume 5)

Abstract

Morphological computing emerged recently as an approach in robotics aimed at saving robots computational and other resources by utilizing physical properties of the robotic body to automatically produce and control behavior. The idea is that the morphology of an agent (a living organism or a machine) constrains its possible interactions with the environment as well as its development, including its growth and reconfiguration. The nature of morphological computing becomes especially apparent in the info-computational framework, which combines informational structural realism (the idea that the world for an agent is an informational structure) with natural computationalism (the view that all of nature forms a network of computational processes). Info-computationalism describes morphological computation as a process of continuous self-structuring of information and shaping of both interactions and informational structures. This article argues that natural computation/morphological computation is a computational model of physical reality, and not just a metaphor or analogy, as it provides a basis for computational framing, parameter studies, optimizations and simulations – all of which go far beyond metaphor or analogy.

Keywords

Computational Process Geological Time Scale Informational Structure Natural Computation Morphological Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Bateson, G.: Steps to an Ecology of Mind, Ballantine, NY, pp. xxv-xxvi (1972)Google Scholar
  2. Black, M.: Models and Metaphors: Studies in Language and Philosophy, Cornell, Ithaca (1962)Google Scholar
  3. Burgin, M.: Super-Recursive Algorithms. Springer Monographs in Computer Science (2005)Google Scholar
  4. Catling, D.C., Zahnle, K.J., McKay, C.P.: Biogenic Methane, Hydrogen Escape, and the Irreversible Oxidation of Early Earth. Science 293(5531) (2001)Google Scholar
  5. Chaitin, G.: Epistemology as Information Theory: From Leibniz to Ω. In: Dodig Crnkovic, G. (ed.) Computation, Information, Cognition – The Nexus and The Liminal, pp. 2–17. Cambridge Scholars Pub., Newcastle, UK (2007)Google Scholar
  6. Clark, A.: Being There: putting brain, body and world together again. Oxford University Press (1997)Google Scholar
  7. Dodig Crnkovic, G.: Investigations into Information Semantics and Ethics of Computing. Mälardalen University Press (2006)Google Scholar
  8. Dodig Crnkovic, G.: Knowledge Generation as Natural Computation. Journal of Systemics, Cybernetics and Informatics 6(2) (2008)Google Scholar
  9. Dodig Crnkovic, G.: Information and Computation Nets. Investigations into Info-computational World, pp. 1–96. Vdm Verlag, Saarbrucken (2009)Google Scholar
  10. Dodig Crnkovic, G.: Info-Computational Philosophy of Nature: An Informational Universe With Computational Dynamics. In: Thellefsen, T., Sørensen, B., Cobley, P. (eds.) From First to Third via Cybersemiotics. A Festschrift for Prof. Søren Brier, pp. 97–127. CBS (2011)Google Scholar
  11. Dodig Crnkovic, G.: Dynamics of Information as Natural Computation. Information 2(3), 460–477 (2011); Selected Papers from FIS 2010 BeijingGoogle Scholar
  12. Douady, S., Couder, Y.: Phyllotaxis as a physical self-organized growth process. Phys. Rev. Lett. 68, 2098–2101 (1992)CrossRefGoogle Scholar
  13. Dulos, E., Boissonade, J., Perraud, J.J., Rudovics, B., Kepper, P.: Chemical morphogenesis: Turing patterns in an experimental chemical system. Acta Bio-theoretica 44(3), 249–261 (1996)Google Scholar
  14. Floridi, L.: A defence of informational structural realism. Synthese 161, 219–253 (2008)CrossRefGoogle Scholar
  15. Fredkin, E.: Finite Nature. In: XXVIIth Rencotre de Moriond (1992)Google Scholar
  16. Kauffman, S.: Origins of Order: Self-Organization and Selection in Evolution. Oxford University Press (1993)Google Scholar
  17. Ladyman, J., Ross, D., Spurrett, D., Collier, J.: Every Thing Must Go: Metaphysics Naturalized. Oxford UP (2007)Google Scholar
  18. Lloyd, S.: Programming the universe: a quantum computer scientist takes on the cosmos, 1st edn. Knopf, New York (2006)Google Scholar
  19. Lungarella, M.: Exploring Principles Toward a Developmental Theory of Embodied Artificial Intelligence, PhD Thesis, Zurich University (2004)Google Scholar
  20. Lungarella, M., Sporns, O.: Information Self-Structuring: Key Principle for Learning and Development. In: Proceedings of 2005 4th IEEE Int. Conference on Development and Learning, pp. 25–30 (2005)Google Scholar
  21. Lungarella, M., Pegors, T., Bulwinkle, D., Sporns, O.: Methods for Quantifying the Informational Structure of Sensory and Motor Data. Neuroinformatics 3, 243–262 (2005)CrossRefGoogle Scholar
  22. Matsushita, K., Lungarella, M., Paul, C., Yokoi, H.: Locomoting with Less Computation but More Morphology. In: Proc. 2005 IEEE Int. Conf. on Robotics and Automation, pp. 2008–2013 (2005)Google Scholar
  23. Maturana, H.R., Varela, F.J.: Autopoiesis and Cognition - The Realization of the Living. D. Reidel Publishing, Dordrecht (1980)CrossRefGoogle Scholar
  24. Paul, C.: Morphology and Computation. In: Proceedings of the International Conference on the Simulation of Adaptive Behaviour, Los Angeles, CA, USA, pp. 33–38 (2004)Google Scholar
  25. Pfeifer, R.: Tutorial on embodiment (2011), http://www.eucognition.org/index.php?page=tutorial-on-embodiment
  26. Pfeifer, R., Gomez, G.: Morphological computation - connecting brain, body, and environment. In: Sendhoff, B., Sporns, O., Körner, E., Ritter, H., Pfeifer, R., Lungarella, M., Iida, F., (eds.) Self-Organization, Embodiment and Biologically Inspired Robotics, Science, vol. 318, pp. 1088–1093 (2009)Google Scholar
  27. Pfeifer, R., Iida, F.: Morphological computation: Connecting body, brain and environment. Japanese Scientific Monthly 58(2), 48–54 (2005)Google Scholar
  28. Quick, T., Dautenhahn, K.: Making embodiment measurable. In: Proceedings of ‘4. Fachtagung der Gesellschaft für Kognitionswissenschaft’, Bielefeld, Germany (1999), http://supergoodtech.com/tomquick/phd/kogwis/webtext.html
  29. Sayre, K.M.: Cybernetics and the Philosophy of Mind. Routledge & Kegan Paul, London (1976)Google Scholar
  30. Turing, A.M.: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 237(641), 37–72 (1952)Google Scholar
  31. Wolfram, S.: A New Kind of Science. Wolfram Media (2002)Google Scholar
  32. Zuse, K.: Rechnender Raum. Friedrich Vieweg & Sohn, Braunschweig (1969)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Computer Science and Networks Department, School of Innovation, Design and EngineeringMälardalen UniversityVästeråsSweden

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