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Steps Towards Living Machines

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Evolutionary Robotics. From Intelligent Robotics to Artificial Life (EvoRobots 2001)

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Abstract

We still do not understand what it is that makes living matter alive. If we did we could build living machines, but it is clear that we do not have the technology to do that today. Living machines would be able to self-reproduce, find their own sources of energy, and repair themselves to some degree. They need not necessarily be built from our standard materials, silicon and metal. Living machines will change all of our technologies with equivalent disruption as that introduced by electricity and that by plastics. Living machines will invade the fabric of our everyday lives.

There are three thrusts to trying to build living machines. First is to build robots with partial characteristics of living machines, looking for the key intellectual ideas that make them possible. The second is to use generalized evolutionary systems to investigate possible mechanisms and designs. Generalized evolutionary systems use analogs of physical processes to organize the world for evolving systems, living in that world. The third thrust is to develop a new mathematics of living systems. This new mathematics interacts with the first two thrusts in two ways. It is inspired by the first two thrusts to formalize the notions developed there. Additionally it is used to provide constraints on the design spaces in the first two thrusts, to guide the research work to the appropriate areas.

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References

  1. Edwin A. Abbott. Flatland: A Romance of Many Dimensions. Dover Publications, Inc., New York, NY, 1884. 6th Edition, Revised with Introduction by Banesh Hoffmann, 1952.

    Google Scholar 

  2. Michael A. Arbib. Simple self-reproducing universal automata. Information and Control, 9:177–189, 1966.

    Article  MATH  Google Scholar 

  3. Michael A. Arbib, editor. The Handbook of Brain Theory and Neural Networks. The MIT Press, Cambridge, Massachusetts, 1995.

    Google Scholar 

  4. Steven A. Benner, Petra Burgstaller, Thomas R. Battersby, and Simona Jurczyk. Did the RNA world exploit an expanded genetic alphabet? In Raymond F. Gesteland, Thomas R. Cech, and John F. Atkins, editors, The RNA World, pages 163–181. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York, second edition, 1999.

    Google Scholar 

  5. Cynthia L. Breazeal. Building Sociable Robots. MIT Press, Cambridge, Massachusetts, 2001.

    Google Scholar 

  6. Rodney A. Brooks. A robot that walks: Emergent behavior from a carefully evolved network. Neural Computation, 1(2):253–262, 1989.

    Article  Google Scholar 

  7. Rodney A. Brooks. New approaches to robotics. Science, 253:1227–1232, 1991.

    Article  Google Scholar 

  8. Rodney A. Brooks. The relationship between matter and life. Nature, 409:409–411, 18 January 2001.

    Article  Google Scholar 

  9. E. F. Codd. Cellular automata. ACM Monograph Series. Academic Press, New York, 1968.

    MATH  Google Scholar 

  10. Jonathan H. Connell. Minimalist Mobil Robotics: A Colony-style Architecture for an Artificial Creature, volume 5 of Perspectives in Artificial Intelligence. Academic Press, Inc., Boston, Massachusetts, 1990.

    Google Scholar 

  11. Lynnae Davies, Larry Keenan, and Harold Koopowitz. Nerve repair and behavioral recovery following brain transplantation in notoplana acti cola, a polyclad flatworm. The Journal of Experimental Zoology, 235:157–173, 1985.

    Article  Google Scholar 

  12. Stephen J. Freeland and Laurence D. Hurst. The genetic code is one in a million. Journal of Molecular Evolution, 47:238–248, 1998.

    Article  Google Scholar 

  13. Raymond F. Gesteland, Thomas R. Cech, and John F. Atkins, editors. The RNA World: The Nature of Modern RNA Suggests a Prebiotic RNA. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY, second edition edition, 1999.

    Google Scholar 

  14. Adrian Horridge. The nervous system of the ephyra larva of aurellia aurita. Quarterly Journal of Microscopical Science, 97:59–74, March 1956.

    Google Scholar 

  15. G. A. Horridge. The origins of the nervous system. In Geoffrey H. Bourne, editor, The Structure and Function of Nervous Tissue, volume 1, pages 1–31. Academic Press, New York, 1968.

    Google Scholar 

  16. Gerald F. Joyce and Leslie E. Orgel. Prospects for understanding the origin of the RNA world. In Raymond F. Gesteland, Thomas R. Cech, and John F. Atkins, editors, The RNA World, pages 49–77. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York, second edition, 1999.

    Google Scholar 

  17. C. Larry Keenan, Richard Coss, and Harold Koopowitz. Cytoarchitecture of primitive brains: Golgi studies in flatworms. Journal of Comparative Neurology, 195:697–716, 1981.

    Article  Google Scholar 

  18. Harold Koopowitz. Feeding behaviour and the role of the brain in the polyclad flatworm, planocera gilchrist. Animal Behaviour, 18:31–35, 1970.

    Article  Google Scholar 

  19. Harold Koopowitz. Polyclad neurobiology and the evolution of central nervous systems. In Peter A.V. Anderson, editor, Evolution of the First Nervous systems, pages 315–327. Plenum Press, New York, 1989.

    Google Scholar 

  20. Harold Koopowitz, Mark Elvin, and Larry Keenan In vivo visualization of living flatworm neurons using lucifer yellow intracellular injections. Journal of Neuroscience Methods, 69:83–89, October 1996.

    Article  Google Scholar 

  21. Harold Koopowitz and Larry Keenan. The primitive brains of platyhelminthes. Trends in Neurosciences, 5(3):77–79, 1982.

    Article  Google Scholar 

  22. H. D. Landahl, Warren S. McCulloch, and Walter Pitts. A statistical consequence of the logical calculus of nervous nets. Bulletin of Mathematical Biophysics, 5:135–137, 1943.

    Article  MATH  MathSciNet  Google Scholar 

  23. Chris G. Langton. Emergent computation. In Stephanie Forrest, editor, Computation at the Edge of Chaos, pages 12–37. MIT Press, Cambridge, Massachusetts, 1991.

    Google Scholar 

  24. Hod Lipson and Jordan B. Pollack. Automatic design and manufacture of robotics lifeforms. Nature, 406:974–978, 2000.

    Article  Google Scholar 

  25. G. O. Mackie. The elementary nervous system revisited. American Zoologist, 30:907–920, 1990.

    Google Scholar 

  26. Warren S. McCulloch and Walter Pitts. A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics, 5:115–133, 1943.

    Article  MATH  MathSciNet  Google Scholar 

  27. Barry McMullin. John von Neumann and the evolutionary growth of complexity: Looking backward, looking forward... Artificial Life, 6:347–361, 2000.

    Article  Google Scholar 

  28. Stefano Nolfi and Dario Floreano. Learning and evolution. Autonomous Robots, 7:89–113, 1999.

    Article  Google Scholar 

  29. Steven R. Quartz and Terrence J. Sejnowski. The neural basis of cognitive development: A constructivist manifesto. The Behavioral and Brain Sciences, 20:537–596, 1997.

    Article  Google Scholar 

  30. Thomas S. Ray. An approach to the synthesis of life. In J. Doyne Farmer Christopher G. Langton, Charles Taylor and Steen Rasmussen, editors, Proceedings of Artificial Life, II, pages 371–408. Addison-Wesley, 1990. Appeared 1991.

    Google Scholar 

  31. Robert Rosen. Life Itself: A Comprehensive Inquiry Into the Nature, Origin, and Fabrication of Life. Columbia University Press, New York, 1991.

    Google Scholar 

  32. Karl Sims. Evolving 3d morphology and behavior by competition. In Rodney A. Brooks and Pattie Maes, editors, Artificial Life IV: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, pages 28–39. MIT Press, Cambridge, Massachusetts, 1994.

    Google Scholar 

  33. Andrew N. Spencer, Jan Pryzsiezniak, Juan Acosta-Urquidi, and Trent A. Basarsky. Presynaptic spike broadening reduces junctional potential amplitude. Nature, 340:636–638, 24 August 1989.

    Article  Google Scholar 

  34. Hiroaki Takagi, Kunihiko Kaneko, and Tetsuya Yomo. Evolution of genetic codes through isologous diversification of cellular states. Artificial Life, 6:283–305, 2000.

    Article  Google Scholar 

  35. John von Neumann. The general and logical theory of automata. In L.A. Jeffress, editor, Cerebral Mechanisms in Behavior-The Hixon Symposium, pages 1–31. John Wiley & Sons, New York, NY, 1951.

    Google Scholar 

  36. John von Neumann. Probabilistic logics and the synthesis of reliable organisms from unreliable components. In Claude Elwood Shannon and John McCarthy, editors, Automata Studies, pages 43–98. Princeton University Press, Princeton, NJ, 1956.

    Google Scholar 

  37. Christopher Wills and Jeffrey Bada. The Spark Of Life. Perseus Publishing, Cambridge, Massachusetts, 2000.

    Google Scholar 

  38. William B. Wood and the Community of C. elegans Researchers, editors. The Nematode Caenorhabditis Elegans. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY, 1988.

    Google Scholar 

  39. Todd S. Woodward, Mike J. Dixon, Kathy T. Mullen, Karin M. Christensen, and Daniel N. Bub. Analysis of errors in color agnosia: A single-case study. Neurocase, 5:95–108, 1999.

    Article  Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Brooks, R.A. (2001). Steps Towards Living Machines. In: Gomi, T. (eds) Evolutionary Robotics. From Intelligent Robotics to Artificial Life. EvoRobots 2001. Lecture Notes in Computer Science, vol 2217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45502-7_4

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  • DOI: https://doi.org/10.1007/3-540-45502-7_4

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  • Print ISBN: 978-3-540-42737-7

  • Online ISBN: 978-3-540-45502-8

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