Abstract
A so-called intelligent system gives appropriate problem-solving responses to problem inputs, even if such inputs are new and unexpected. Such behavior is “novel” or “creative”. The workings of intelligent systems are usually described by analogies with biological systems by, for example, looking at how human beings perform control tasks, recognize patterns, or make decisions. At the moment, there exists a considerable mismatch between humans and machines, in as much as humans reason in uncertain, imprecise, fuzzy ways while machines and the computers that run them are based on binary reasoning. Eliminating this mismatch would make machines more intelligent, that is, they would be enabled to reason in a fuzzy manner like humans.
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References
APOSTEL, L: “Formal Study of Models.” In The Concept and the Role of the Model in Mathematics and Natural and Social Science. Freudenthal H, ed. Kluwer Academic Press, Dordrecht, 1961.
ARNOLD WR, BOWIE JS: Artificial Intelligence — A Personal Commonsense Journey.Prentice Hall, Englewood Cliffs, NJ , USA, 1986.
BARR, A., FEIGENBAUM, EA: The Handbook of Artificial Intelligence. Los Altos, Ca. 1981; 1; 1982; 2–3.
FORDYCE, K., NORDEN, P. , SULLIVAN, G.: “Artificial Intelligence and the Management Science Practitioner: One Definition of Knowledge-Based Expert Systems.” Interfaces, 1989; 19; 66–70.
HARMON P., KING D.: Expert Systems: AI in business. John Wiley and Sons, New York, 1985.
KASTNER, JK., HONG, SJ: “A Review of Expert Systems.” European Journal of Operations Research. 1984; 18; 285–292.
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Shaw, I.S. (1998). What is an Intelligent System?. In: Fuzzy Control of Industrial Systems. The Springer International Series in Engineering and Computer Science, vol 457. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2813-2_1
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DOI: https://doi.org/10.1007/978-1-4757-2813-2_1
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