Abstract
Here is the abstract from my 1992 paper about Computational Intelligence (CI) [1]: This paper concerns the relationship between neural-like computational networks, numerical pattern recognition and intelligence. Extensive research that proposes the use of neural models for a wide variety of applications has been conducted in the past few years. Sometimes the justification for investigating the potential of neural nets (NNs) is obvious. On the other hand, current enthusiasm for this approach has also led to the use of neural models when the apparent rationale for their use has been justified by what is best described as “feeding frenzy”. In this latter instance there is at times a concomitant lack of concern about many “side issues” connected with algorithms (e.g., complexity, convergence, stability, robustness and performance validation) that need attention before any computational model becomes part of an operational system. These issues are examined with a view towards guessing how best to integrate and exploit the promise of the neural approach with other efforts aimed at advancing the art and science of pattern recognition and its applications in fielded systems in the next decade. A further purpose of the present paper is to characterize the notions of computational, artificial and biological intelligence; my hope is that a careful discussion of the relationship between systems that exhibit each of these properties will serve to guide rational expectations and development of models that exhibit or mimic “human behavior”.
This article adds to the growing and pretty amusing literature that tries to explain what I meant. I will add my own opinion to the many others that offer an explanation for the current popularity of the term CI.
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References
Bezdek, J. (1992). On the relationship between neural networks, pattern recognition and intelligence, Int. Jo. Approx. Reasoning, 6(2), 85–107.
Cheeseman, P. (1988). An Inquiry into Computer Understanding, Comp. Intell., 4, 57–142.
Marks, R. (1993). Intelligence: Computational versus Artificial, IEEE Trans. Neural Networks, 4(5), 737–739.
Zurada, J., Marks, R. and Robinson, C. (1994). Introduction to Computational Intelligence: Imitating Life, ed. J. Zurada, R. Marks and C. Robinson, IEEE Press, Piscataway, NJ, v-xi.
Bezdek, J.C. (1994). What is Computational Intelligence? in Computational Intelligence: Imitating Life, ed. J. Zurada, R. Marks and C. Robinson, IEEE Press, Piscataway,1–12.
Fogel, D. (1995). Review of Computational Intelligence Imitating Life, ed. J. Zurada, B. Marks and C. Robinson, IEEE Press, Piscataway, NJ, IEEE Trans. Neural Networks, 6(6), 1562–1565.
Palaniswami, M., Attikiouzel, Y., Marks, R.J., Fogel, D. and Fukuda, T. (1995). Introduction to Computational Intelligence: A Dynamic System Perspective, ed. Palaniswami, M., Attikiouzel, Y., Marks, R.J., Fogel, D. and Fukuda, T., IEEE Press, Piscataway, NJ, 1–5.
Eberhart, R. (1995). Computational intelligence: a snapshot, in Computational Intelligence: A Dynamic System Perspective, ed. Palaniswami, M., Attikiouzel, Y., Marks, R.J., Fogel, D. and Fukuda, T., IEEE Press, Piscataway, NJ, 9–15.
Eberhart, R., Dobbins, R. W. and Simpson, P.K. (1996). Computational intelligence PC tools, in press, Academic Press Professional (APP), NY.
Mccullogh W. and Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity, Bull. Math. Biophysics, 7, 115–133.
Barricelli, N.A. (1954). Esempi Numerici di Processi di Evoluzione, Methodos, 6(21–22), 45–68.
Zadeh, L.A. (1965). Fuzzy Sets, Information and Control, 8, 338–352.
Fogel, D.B.(1995). Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, IEEE Press, Piscataway, NJ.
. Webster’s New World Dictionary of Computer Terms, 3rd ed., Prentice-Hall, Englewood Cliffs, NJ, 1988, 13.
Marks, R. (1996). Neural Network Evolution: Some Comments on the Passing Scene, in Proc. IEEE ICNN (Plenary, Panel & Special Sessions Volume), IEEE Press, Piscataway, NJ.1–6.
Hofstadter, D. (1981). The Turing Tests; A Coffeehouse Conversation, in The Mind’s I, ed. D. Hofstadter and D. Dennett, Bantam, NY, 69–91.
Searle, J. (1981). Minds, Brains and Programs, in The Mind’s I, ed. D. Hofstadter and D. Dennett, Bantam, NY, 353–372.
Hayes, P. and Ford, K. (1995). Turing test considered harmful, in Proc. 1995 IJCAI, (1), Morgan-Kaufmann, San Mateo, CA., 972–977.
Fogel, L.J., Owens, A.J. and Walsh, M.J. (1966). Artificial intelligence through simulated evolution, Wiley, NY.
Holland, J.H. (1975). Adaptation in Natural and Artificial Systems, U. of Michigan Press, Ann Arbor, MI.
Lee, J.S.J and Bezdek, J.C. (1988). A Feature Projection Based Adaptive Pattern Recognition Network, Proc. IEEE ICNN, 1, IEEE Computer Society Press, 497–505.
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Bezdek, J.C. (1998). Computational Intelligence Defined - By Everyone !. In: Kaynak, O., Zadeh, L.A., Türkşen, B., Rudas, I.J. (eds) Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications. NATO ASI Series, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58930-0_2
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DOI: https://doi.org/10.1007/978-3-642-58930-0_2
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