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Science Visions, Science Fiction and the Roots of Computational Intelligence

  • Conference paper
Computational Intelligence in Intelligent Data Analysis

Part of the book series: Studies in Computational Intelligence ((SCI,volume 445))

Abstract

In later science fiction movies, computers run countries or govern the whole mankind but in science fiction stories of the 1950s this scenario does not exist. It seems that it originated from the early Computer Science and it was Lotfi A. Zadeh who published in 1950 the first science vision of a “Thinking Machine”. He also predicted in 1950 that “Thinking machines” may be commonplace in anywhere from ten to twenty years hence and that they will play a major role in any armed conflict. Not many years later new SF stories told these kinds of stories of computers that govern the world by their decision — sometimes they annihilate the earth, sometimes they protect the planet. This paper gives a historical view on the idea of “machines that/who thinks” in science visions and in science fiction. Then, it shows this idea’s historical path from the research program of Artificial Intelligence to that of Computational Intelligence.

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References

  1. Asimov, I.: I, Robot. Gnome Press, New York (1950)

    Google Scholar 

  2. Asimov, I.: The Thinking Machine. In: Farrell, E.J., Gage, T.E., Pfordresher, J., Rodrigues, R.J. (eds.) Science Fact/Fiction, pp. 90–91. Scott, Forseman & Company, Glenview (1974)

    Google Scholar 

  3. Asimov, I., Warrick, P.S., Greenberg, M.H.: Machines That Think: The Best Science Fiction Stories About Robots and Computers. Holt, Rinehart, and Winston (1984)

    Google Scholar 

  4. Bagley, J.D.: The behavior of adaptive systems which employ genetic and correlation algorithms. PhD thesis, University of Michigan (1967)

    Google Scholar 

  5. Berkeley, E.C.: Giant Brains or Machines that think. John Wiley & Sons, Inc., New York (1949)

    MATH  Google Scholar 

  6. Bezdek, J.C.: On the rrelationship between neural networks, pattern recognition and intelligence. International Journal of Approximate Reasoning 6, 85–107 (1993)

    Article  MathSciNet  Google Scholar 

  7. Bezdek, J.C.: What is computational intelligence? In: [57], pp. 1–12

    Google Scholar 

  8. Bonissone, P.P.: Soft computing: The convergence of emerging reasoning technologies. Soft Computing 1(1), 6–18 (1997)

    Article  MathSciNet  Google Scholar 

  9. Cercone, N., McCalla, G.: Ten years of computational intelligence. Computational Intelligence 10(4), I (1994)

    Google Scholar 

  10. Clute, J.: Science Fiction: The illustrated Encyclopedia, 1st American edn. Dorling Kindersley, New York (1995)

    Google Scholar 

  11. Duch, W.: Quo vadis computational intelligence? In: Sincak, P., Vascak, J., Hirota, K. (eds.) Machine Intelligence: Quo Vadis?. Advances in Fuzzy Systems – Applications and Theory, vol. 21, World Scientific, Singapore (2004)

    Google Scholar 

  12. Duch, W.: What is computational intelligence and where is it going? In: Duch, W., Mandziuk, J. (eds.) Challenges for Computational Intelligence. SCI, vol. 63, pp. 1–13. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  13. Fogel, L.G.: On the organization of intellect. PhD thesis, University of California, Los Angeles, CA, USA (1964)

    Google Scholar 

  14. Haigh, T.: Technology’s other storytellers: Science fiction as history of technology. In: Ferro, D.L., Swedin, E.G. (eds.) Science Fiction and Computing: Essays on Interlinked Domains, kindle Edition, NC, USA and London, UK, pp. 13–37. McFarland & Company, Jefferson (2011) cited: draft on Thomas Haigh’s homepage, http://www.tomandmaria.com/tom/

  15. Haufe, R.: Design of a tit-tat-toe machine. Electrical Engineering 68, 885 (1949)

    Google Scholar 

  16. Heims, S.J.: The Cybernetics Group. The MIT Press, Cambridge (1991)

    Google Scholar 

  17. Holland, J.H.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. The University of Michigan Press (1975)

    Google Scholar 

  18. Hopfield, J.J.: Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences of the USA 79(8), 2554–2558 (1982)

    Article  MathSciNet  Google Scholar 

  19. Lohr, S.: Arthur W. Burks, 92, Dies; Early Computer Theorist. The New York Times (2008), http://www.nytimes.com/2008/05/19/technology/19burks.html

  20. Magdalena, L.: What is soft computing? revisiting possible answers. International Journal of Computational Intelligence Systems 3(2), 148–159 (2010)

    Article  Google Scholar 

  21. Maker, M.H.: Conference notes by Meg Houston Maker: McCarthy, J.: What was expected, what we did, and AI today [AI@50] filene auditorium (2006), http://www.megmaker.com/page/6/ for the conference see also www.dartmouth.edu/~ai50/homepage.html

  22. Martin, C.D.: The myth of the awesome thinking machine. Communications of the ACM 36(4), 120–133 (1993)

    Article  Google Scholar 

  23. McCarthy, J., Minsky, M.L., Rochester, N., Shannon, C.E.: A proposal for the Dartmouth summer research project on artificial intelligence (1955), http://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html

  24. McCorduck, P.: Machines who Think. Freeman, San Francisco (1979)

    Google Scholar 

  25. McCorduck, P.: Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence, 2nd edn. A. K. Peters, Natick (2004)

    Google Scholar 

  26. McCulloch, W.S., Pitts, W.H.: A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5, 115–133 (1943)

    Article  MathSciNet  MATH  Google Scholar 

  27. Minsky, M., Papert, S.: Perceptrons. The MIT Press, Cambridge (1969)

    MATH  Google Scholar 

  28. Mitchell, M.: Complexity: A Guided Tour. Oxford University Press, New York (2009)

    MATH  Google Scholar 

  29. Moor, J.: The Dartmouth college artificial intelligence conference: The next fifty years. AI Magazine 27(4), 87–91 (2006)

    Google Scholar 

  30. von Neumann, J.: The Computer and the Brain. Yale University Press, New Haven (1958)

    MATH  Google Scholar 

  31. von Neumann, J.: First draft of a report on the edvac. IEEE Annals of the History of Computing 15(4), 27–75 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  32. Newell, A., Simon, H.A.: The logic theory machine. IRE Transactions on Information Theory IT-2(3), 61–79 (1956)

    Article  Google Scholar 

  33. Poole, D., Mackworth, A., Goebel, R.: Computational Intelligence: A Logical Approach. Oxford University Press, New York (1998)

    MATH  Google Scholar 

  34. Rechenberg, I.: Evolutionsstrategie. Friedrich Frommann, Stuttgart / Bad Cannstatt, Germany (1973)

    Google Scholar 

  35. Robinson, K.S.: Notes for an essay on cecelia holland. Foundation 40, 54–61 (1987)

    Google Scholar 

  36. Rojas, R., Hashagen, U. (eds.): The First Computers: History and Architectures. The MIT Press, Cambridge (2000)

    Google Scholar 

  37. Rosenblatt, F.: The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review 65(6), 386–408 (1958)

    Article  MathSciNet  Google Scholar 

  38. Rumelhart, D.E., McClelland, J.L., the PDP research group: Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 2 volumes. The MIT Press, Cambridge (1986)

    Google Scholar 

  39. McCulloch, W.S.: Why the mind is in the head. In: Jeffress, L.A. (ed.) Cerebral Mechanisms in Behavior: The Hixon Symposium, pp. 42–57. John Wiley & Sons, Inc., New York (1951)

    Google Scholar 

  40. Schwefel, H.P.: Evolutionsstrategie und numerische optimierung. Dissertation, Technische Universität Berlin (1975)

    Google Scholar 

  41. Seising, R.: Interview with L. A. Zadeh on July, 26, see [42] (2000) (unpublished)

    Google Scholar 

  42. Seising, R.: Interview with L. A. Zadeh on June 15, see [42] (2001) (unpublished)

    Google Scholar 

  43. Seising, R.: The Fuzzification of Systems: The Genesis of Fuzzy Set Theory and Its Initial Applications – Developments up to the 1970s. Springer, New York (2007)

    MATH  Google Scholar 

  44. Shannon, C.E.: A mathematical theory of communication. Bell System Technical Journal 27, 379–423 and 623–656 (1948)

    Google Scholar 

  45. Shannon, C.E., McCarthy, J. (eds.): Automata studies. Princeton University Press, Princeton (1956)

    MATH  Google Scholar 

  46. Turing, A.M.: On computable numbers, with an application to the entscheidungsproblem. In: Proceedings of the London Mathematical Society, 2, vol 42, pp. 230–265 (1936-1937); with corrections from Proceedings of the London Mathematical Society, series 2, vol. 43, pp. 544–546 (1937)

    Google Scholar 

  47. Turing, A.M.: Computing machinery and intelligence. Mind 49(236), 433–460 (1950)

    Article  MathSciNet  Google Scholar 

  48. Wiener, N.: Cybernetics or Control and Communication in the Animal and the Machine. Hermann & Cie., The Technology Press, and John Wiley & Sons, Inc., Cambridge, MA and New York (1948)

    Google Scholar 

  49. Zadeh, L.A.: Thinking machines – a new field in electrical engineering. Columbia Engineering Quarterly, 12–13, 30–31 (1950)

    Google Scholar 

  50. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  51. Zadeh, L.A.: Fuzzy languages and their relation to human and machine intelligence. In: Proc. of Intl. Conf. on Man and Computer, Bordeaux, France, pp. 130–165 (1972)

    Google Scholar 

  52. Zadeh, L.A.: Making computers think like people. IEEE Spectrum 8, 26–32 (1984)

    Google Scholar 

  53. Zadeh, L.A.: Foreword. Applied Soft Computing 1(1), 1–2 (2001)

    Article  Google Scholar 

  54. Zadeh, L.A.: A new direction in ai: Toward a computational theory of perceptions. AI-Magazine 22(1), 73–84 (2001b)

    Google Scholar 

  55. Zadeh, L.A.: My life and work – a retrospective view. Applied and Computational Mathematics 10(1), 4–9 (2011)

    MathSciNet  MATH  Google Scholar 

  56. Zadeh, L.A., Desoer, C.A.: Linear System Theory: The State Space Approach. McGraw-Hill Book Company, New York (1963)

    MATH  Google Scholar 

  57. Zimmermann, H.J.: Editorial. Fuzzy Sets and Systems 69(1), 1–2 (1995)

    Article  Google Scholar 

  58. Zurada, J.M., Marks, R.J., Robinson, C.J. (eds.): Computational Intelligence Imitating Life. IEEE Press, Los Alamitos (1994)

    Google Scholar 

  59. Zurada, J.M., Marks, R.J., Robinson, C.J.: Introduction. In: [57], pp v–xi (1994b)

    Google Scholar 

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Authors and Affiliations

  1. Edificio de Investigación, European Centre for Soft Computing, 33600, Mieres, Asturias, Spain

    Rudolf Seising

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  1. Rudolf Seising
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Correspondence to Rudolf Seising .

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Editors and Affiliations

  1. Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany

    Christian Moewes

  2. , Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany

    Andreas Nürnberger

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Seising, R. (2013). Science Visions, Science Fiction and the Roots of Computational Intelligence. In: Moewes, C., Nürnberger, A. (eds) Computational Intelligence in Intelligent Data Analysis. Studies in Computational Intelligence, vol 445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32378-2_9

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  • DOI: https://doi.org/10.1007/978-3-642-32378-2_9

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  • Online ISBN: 978-3-642-32378-2

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