Abstract
Although fascination with the mechanization of human reasoning goes back to Leibnitz and Pascal, serious interest in artificial intelligence became manifest with the arrival of the computer age in the late forties. Since then, computers have become vastly more powerful and AI has become the subject of almost daily articles in the popular press. While it may be true that such articles are creating unrealistic expectations—as they have done throughout the history of AI—it should be borne in mind, as Jules Verne noted at the turn of the century, that scientific progress is driven by exaggerated expectations.1
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
As an example of such expectations, the opening paragraph of my paper, entitled “Thinking Machines-A New Field in Electrical Engineering,” which appeared in the January 1950 issue of Columbia Engineering Quarterly, reads: ‘Psychologists Report Memory is Electrical,’ ‘Electronic Brain Able to Translate Foreign Languages is Being Built,’ ‘Electronic Brain Does Research,’ ‘Scientists Confer on Electronic Brain,’—these are some of the headlines that were carried in newspapers throughout the nation during the past year. What is behind these headlines? How will ‘electronic brains’ or ‘thinking machines’ affect our way of living? What is the role played by electrical engineers in the design of these devices? These are some of the questions that we shall try to answer in this article.” Many more examples may be found in H. Dreyfus, What Computers Can’t Do: A Critique of Artificial Intelligence, 2nd edition, Harper and Row, New York, 1979.
L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning,” Information Sciences, 8 and 9, 199–249,301–357,43–80, 1975
L. A. Zadeh, “A computational approach to fuzzy quantifiers in natural languages,” Computers and Mathematics, 9, 149–194, 1983a
L. A. Zadeh, “A theory of commonsense knowledge,” in: Issues of Vagueness, H. Skala, S. Termini and E. Trillas, eds., Reidel, Dordrecht, 257–296, 1983b.
R. Giles, “Foundations for a theory of possibility,” in: Fuzzy Information and Decision Processes, M. M. Gupta and E. Sanchez, eds., Amsterdam, North-Holland, 183–195, 1981.
See Zadeh, 1975
This issue is discussed in greater detail in I. R. Goodman, “Fuzzy sets as equivalence classes of random sets,” in: Recent Developments in Fuzzy Set and Possibility Theory, R. R. Yager, ed., London, Pergamon Press, 327–343, 1981.
L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes”, IEEE Trans. on Systems, Man and Cybernetics, SMC-3, 28–44, 1973
A. Borisov, A. V. Alekseev, O. A. Krumberg, G. V. Merkur’eva and V. A. Popov, Models of Decision-Making Based on the Concept of a Linguistic Variable, Riga, Zinatne, 1982.
Zadeh, 1975.
Qualitative Reasoning, Artificial Intelligence, 24, 1–492, 1984.
L. A. Zadeh, “A fuzzy-algorithmic approach to the definition of complex or imprecise concepts,” Int. J. Man-Machine Studies, 8, 249–291, 1976.
E. H. Mamdani and S. Assilian, “An experiment in linguistic synthesis with a fuzzy logic controller,” Int. J. Man-Machine Studies, 7, 1–13, 1975.
E. H. Mamdani and B. R. Gaines, eds., Fuzzy Reasoning and its Applications, London, Academic Press, 1981.
S. Murakami, “Application of fuzzy controller to automobile speed control system,” in: Proc. IFAC Conference on Fuzzy Information, Knowledge Representation and Decision Analysis, E. Sanchez and M. M. Gupta, eds., Oxford, Pergamon Press, 1983.
L. A. Zadeh, 1983b.
L. A. Zadeh, “The role of fuzzy logic in the management of uncertainty in expert systems,” Fuzzy Sets and Systems, 11, 199–227, 1983c.
Zadeh, 1983a.
L. A. Zadeh, “Syllogistic reasoning in fuzzy logic and its applications to usuality and reasoning with dispositions,” IEEE Trans. Systems, Man and Cybernetics SMC-15, 754–763, 1985.
A. Kaufmann and M. M. Gupta, Introduction to Fuzzy Arithmetic, New York, Van Nostrand, 1985.
See L. A. Zadeh, 1983c.
Zadeh, 1985.
Zadeh, 1983a
D. Dubois and H. Prade, “Fuzzy cardinality and the modeling of imprecise quantification,” Fuzzy Sets and Systems, 16, 199–230, 1985.
L. A. Zadeh, “Probability measures of fuzzy events,” J. Math. Anal. and Appl., 23, 421–427, 1968.
L. A. Zadeh, “A computational theory of dispositions,” in Proceedings of the 1984 International Conference on Computational Linguistics, Stanford University, CA., 312–318, 1984.
Kaufmann and Gupta, 1985.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 D. Reidel Publishing Company, Dordrecht, Holland
About this chapter
Cite this chapter
Zadeh, L.A. (1987). Fuzzy Sets, Usuality and Commonsense Reasoning. In: Vaina, L.M. (eds) Matters of Intelligence. Synthese Library, vol 188. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3833-5_13
Download citation
DOI: https://doi.org/10.1007/978-94-009-3833-5_13
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8206-8
Online ISBN: 978-94-009-3833-5
eBook Packages: Springer Book Archive