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Synergy in Computational Intelligence

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Computational Intelligence

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 1))

Abstract

This chapter introduces the book. It begins with a historical perspective on Computational Intelligence (CI), and discusses its relationshipwith the longer established term “Artificial Intelligence” (AI). The chapter then gives a brief overview of the main CI techniques, and concludes with short summaries of all the chapters in the book.

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References

  1. Bezdek, J.C.: On the relationship between neural networks, pattern recognition and intelligence. International Journal of Approximate Reasoning 6, 85–107 (1992)

    Article  MathSciNet  Google Scholar 

  2. Bezdek, J.C.: What is computational intelligence? In: Zurada, J.M., Marks II, R.J., Robinson, C.J. (eds.) Computational Intelligence Imitating Life, pp. 1–12. IEEE Press, Los Alamitos (1994)

    Google Scholar 

  3. Deb, K.: Multi-objective optimization using evolutionary algorithms. John Wiley and Sons, Chichester (2001)

    MATH  Google Scholar 

  4. Dorigo, M., Maniezzo, V., Colorni, A.: The ant system: Optimization by a colony of cooperating agents. IEEE Trans. System Man Cybernetics Part B 26, 29–41 (1996)

    Article  Google Scholar 

  5. Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  6. Feigenbaum, E.A., McCorduck, P.: The Fifth Generation: Artificial Intelligence and Japan’s Computer Challenge to the World. Addison-Wesley, Reading (1983)

    Google Scholar 

  7. Fogel, L., Owens, A., Walsh, M.: Artificial intelligence through simulated evolution. John Wiley, Chichester (1966)

    MATH  Google Scholar 

  8. Greenwood, G.W., Tyrrell, A.M.: Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems. Wiley-IEEE Press, Chichester (2006)

    Google Scholar 

  9. Holland, J.H.: Adaptation in natural and artificial systems. The University of Michigan Press, Ann Arbor (1975)

    Google Scholar 

  10. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, Piscataway, NJ, pp. 1942–1948 (1995)

    Google Scholar 

  11. Koza, J.: Genetic programming. MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  12. Langton, C. (ed.): Artificial life: An overview. MIT Press, Cambridge (1995)

    Google Scholar 

  13. Lenat, D.B.: Cyc: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM 38(11) (November 1995)

    Google Scholar 

  14. Lighthill, J.: Artificial Intelligence: A General Survey. In: Artificial Intelligence: a paper symposium, Science Research Council, UK (1973)

    Google Scholar 

  15. McCarthy, J., Minsky, M.L., Rochester, N., Shannon, C.E.: A proposal for the Dartmouth summer research project on artificial intelligence, Stanford University, August 31 (1955), http://www-formal.stanford.edu/jmc/history/dartmouth/dartmouth.html

  16. Mehrotra, K., Mohan, C.K., Ranka, S.: Elements of Artificial Neural Networks. MIT Press, Cambridge (1996)

    Google Scholar 

  17. Nguyen, T.H., Walker, E.A.: A First Course in Fuzzy Logic, 3rd edn. Chapman and Hall, Boca Raton (2006)

    Google Scholar 

  18. Pawlak, Z.: Rough sets. Int. J. Computer and Information Sci. 11, 341–356 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  19. Rechenberg, I.: Cybernetic solution path of an experimental problem. Technical Report Translation number 1122, Ministry of Aviation, Royal aircraft Establishment, Farnborough, Hants, UK (1965)

    Google Scholar 

  20. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, NJ (2003)

    Google Scholar 

  21. Winston, P.H.: Artificial Intelligence, 3rd edn. Addison Wesley, Reading (1992)

    Google Scholar 

  22. Wooldridge, M.: An Introduction to MultiAgent Systems. John Wiley & Sons Ltd, NY (2002)

    Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

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Mumford, C.L. (2009). Synergy in Computational Intelligence. In: Mumford, C.L., Jain, L.C. (eds) Computational Intelligence. Intelligent Systems Reference Library, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01799-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-01799-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01798-8

  • Online ISBN: 978-3-642-01799-5

  • eBook Packages: EngineeringEngineering (R0)

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