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Introduction

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Part of the book series: Natural Computing Series ((NCS))

Summary

This introduction aims at helping newcomers to the field of computational intelligence (CI) to understand the scope of CI, to learn about its brief history, and to glimpse neighboring fields, be they well established already or still emerging from within the living system called science.

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References

  1. J. T. Alander. An Indexed Bibliography of Genetic Algorithms: Years 1957–1993. Art of CAD Ltd., Espoo, Finland, 1994.

    Google Scholar 

  2. T. Bäck, D. B. Fogel, and Z. Michalewicz, editors. Handbook of Evolutionary Computation. Oxford University Press, New York, and Institute of Physics Publishing, Bristol, 1997.

    MATH  Google Scholar 

  3. J. C. Bezdek. What is computational intelligence? In Zurada et al. [37], pages 1–12.

    Google Scholar 

  4. J. C. Bezdek. Computational intelligence and edge detection. ln A. Grauel, W. Becker, and F. Belli, editors, Fuzzy-Neuro-Systeme ‘87 - Computational Intelligence, Proceedings in Artificial Intelligence, pages 1–31. infix-Verlag, Sankt Augustin, 1997.

    Google Scholar 

  5. J. Biethahn and V. Nissen. Evolutionary Algorithms in Management Applications. Springer, Berlin, 1995.

    Book  MATH  Google Scholar 

  6. B. G. Buchanan and E. H. Shortcliff. Rule Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley, Reading, MA, 1985.

    Google Scholar 

  7. V. Claus and A. Schwill, editors. Duden Informatik. Dudenverlag, Mannheim, 3rd edition, 2001.

    Google Scholar 

  8. D. C. Dennett. Darwin’s Dangerous Idea. Simon & Schuster, New York, 1995.

    Google Scholar 

  9. E. Fiesler and R. Beale, editors. Handbook of Neural Computation. Oxford University Press, New York, and Institute of Physics Publishing, Bristol, 1997.

    Google Scholar 

  10. D. B. Fogel. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence. IEEE Press, New York, 1995.

    Google Scholar 

  11. L. J. Fogel. Autonomous automata. Industrial Research, 4: 14–19, 1962.

    Google Scholar 

  12. L. J. Fogel, A. J. Owens, and M. J. Walsh. Artificial Intelligence Through Simulated Evolution. Wiley, New York, 1966.

    MATH  Google Scholar 

  13. D. E. Goldberg. Genetic algorithms and rule learning in dynamic system control. In J. J. Grefenstette, editor, Proceedings First International Conference Genetic Algorithms and Their Applications, pages 8–15. Lawrence Erlbaum, Hillsdale, NJ, 1985.

    Google Scholar 

  14. D. E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA, 1989.

    Google Scholar 

  15. M. M. Gupta and T. Yamakawa, editors. Fuzzy Computing: Theory, Hardware and Applications. Elsevier, Amsterdam, 1988.

    Google Scholar 

  16. F. Hayes-Roth, D. A. Waterman, and D. B. Lenat, editors. Building Expert Systems. Addison-Wesley, Reading, MA, 1983.

    Google Scholar 

  17. K. Hirota. Industrial Applications of Fuzzy Technology. Springer, Tokyo, 1993.

    Book  Google Scholar 

  18. J. H. Holland. Outline for a logical theory of adaptive systems. Journal of the ACM, 3: 297–314, 1962.

    Article  Google Scholar 

  19. J. H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, MI, 1975.

    Google Scholar 

  20. L. P. Holmblad and J. J. Cstergaard. Control of a cement kiln by fuzzy logic. In M. M. Gupta and E. Sanchez, editors, Approximate Reasoning in Decision Analysis, pages 389–400. North-Holland, Amsterdam, 1982.

    Google Scholar 

  21. J. J. Hopfield. Neural networks and physical systems with emergent collective computational abilities. Proceedings National Academy of Science, 79: 2554 2558, 1982.

    MathSciNet  Google Scholar 

  22. C. C. Klimaskausas, editor. The 1989 Neuro-Computing Bibliography. MIT Press, Cambridge, MA, 1989.

    Google Scholar 

  23. T. Kohonen, M. Shozakai, J. Kangas, and O. Venta. Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese. In J. A. Laver and M. A. Jack, editors, Proceedings European Conference on Speech Technology, pages 377–380. CEP Consultants, Edinburgh, 1987.

    Google Scholar 

  24. R. K. Lindsay, B. G. Buchanan, E. A. Feigenbaum, and J. Lederberg. Applications of Artificial Intelligence for Organic Chemistry: The DENDRAL Project. McGraw-Hill, New York, 1980.

    Google Scholar 

  25. M. Minsky and S. Papert. Perceptrons. MIT Press, Cambridge MA, 1969.

    MATH  Google Scholar 

  26. I. Rechenberg. Cybernetic solution path of an experimental problem. Royal Aircraft Establishment, Library translation No. 1122, Farnborough, Hants., U.K., August 1965.

    Google Scholar 

  27. I. Rechenberg. Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. Dr.-Ing. Dissertation, Technical University of Berlin, 1971.

    Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  29. D. E. Rumelhart and J. L. McClelland. Parallel Distributed Processing - Explorations in the Microstructure of Cognition, volume 1: Foundations. MIT Press, Cambridge, MA, 1986.

    Google Scholar 

  30. E. H. Ruspini, P. P. Bonissone, and W. Pedrycz, editors. Handbook of Fuzzy Computation. Institute of Physics Publishing, Bristol, 1998.

    MATH  Google Scholar 

  31. -P. Schwefel. Experimentelle Optimierung einer Zweiphasendüse Teil I. Technical Report No. 35 of the Project MHD-Staustrahlrohr 11.034/68, AEG Research Institute, Berlin, October 1968.

    Google Scholar 

  32. H.-P. Schwefel. Evolutionsstrategie und numerische Optimierung. Dr.-Ing. Dissertation, Technical University of Berlin, May 1975.

    Google Scholar 

  33. H.-P. Schwefel. Parallel problem solving from nature. In A. Kent and J. G. Williams, editors, Encyclopedia of Computer Science and Technology, volume 37, supplement 22, pages 225–246. Marcel Dekker, New York, 1997.

    Google Scholar 

  34. T. J. Sejnowski and C. R. Rosenberg. Parallel networks that learn to pronounce English text. Complex Systems, 1: 145–168, 1987.

    MATH  Google Scholar 

  35. M. Sugeno. Industrial Applications of Fuzzy Control. North-Holland, Amsterdam, 1985.

    Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  37. J. M. Zurada, R. J. Marks II, and C. J. Robinson, editors. Computational Intelligence: Imitating Life. IEEE Press, New York, 1994.

    Google Scholar 

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Hammel, U., Naujoks, B., Schwefel, HP. (2003). Introduction. In: Schwefel, HP., Wegener, I., Weinert, K. (eds) Advances in Computational Intelligence. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05609-7_1

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  • DOI: https://doi.org/10.1007/978-3-662-05609-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07758-6

  • Online ISBN: 978-3-662-05609-7

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