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On Reasoning with Words and Perceptions

  • Pere JuliàEmail author
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 325)

Abstract

Fuzzy theorizing has included references to human behavior in general, and to reasoning in particular, almost from its inception. Experience is fuzzy. The strong connections between fuzzy logic and control theory take over, however, when we rely on the machine as a conceptual blueprint, effectively leaving out what makes human behavior unique. Failure to make the proper distinctions is tantamount to letting the available technical means determine our conception of the subject matter instead of the other way around. We will concentrate on the empirical status of the words, perceptions, and rules on which reasoning builds. Language and perception are forms of activity and thus functionally related to the sets of base variables in the absence of which there would be no behavior to speak of. Simulation itself would be a flight of fancy. The fact that claims about the relevance of fuzzy thinking to human behavior continue to be supported through reference to spectacular achievements in engineering clearly calls for reflection.

Keywords

Green Light Soft Computing Verbal Stimulus Perceptual Response Surrounding World 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Belohlavek, R., Klir, G.J. (eds.): Concepts and Fuzzy Logic. MIT Press, Cambridge (2011)zbMATHGoogle Scholar
  2. 2.
    de Saussure, F.: Cours de linguistique générale. Payot, Paris (1916)Google Scholar
  3. 3.
    Guttman, N., Kalish, H.: Experiments in discrimination. Sci. Am. (1958)Google Scholar
  4. 4.
    Julià, P.: Anticipatory systems via anticipatory behavior. In: Dubois, D. (ed.) Computing Anticipatory Systems. American Institute of Physics (2009)Google Scholar
  5. 5.
    Julià, P.: On Norbert Wiener on language. In: Dubois, D. (ed.) Computing Anticipatory Systems. American Institute of Physics (1999)Google Scholar
  6. 6.
    Julià, P.: Explanatory Models in Linguistics: A Behavioral Perspective. Princeton University Press, Princeton (1983)CrossRefGoogle Scholar
  7. 7.
    Julià, P.: Contingencies, rules and the ‘problem’ of novel behavior. Behav. Brain Sci. 7, 598–599 (1984)CrossRefGoogle Scholar
  8. 8.
    Julià, P.: Observer or self-observer in second-order cybernetics? Kybernetes 29(5/6), 770–786 (2000)CrossRefzbMATHGoogle Scholar
  9. 9.
    Kantor, J.R.: An Objective Psychology of Grammar. Indiana University Press, Bloomington (1936)CrossRefGoogle Scholar
  10. 10.
    Kantor, J.R.: The Aim and Progress of Psychology and Other Sciences. Principia Press, Chicago (1971)Google Scholar
  11. 11.
    Kantor, J.R.: Psychological Linguistics. Principia Press, Chicago (1977)Google Scholar
  12. 12.
    Kelso, J.A.S.: Dynamic Patterns. MIT Press, Cambridge (1995)Google Scholar
  13. 13.
    Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic. Prentice-Hall, Upper Saddle River (1995)zbMATHGoogle Scholar
  14. 14.
    Kosko, B.: Fuzzy Thinking. Flamingo, London (1994)Google Scholar
  15. 15.
    Lakoff, G.: Don’t Think of an Elephant. Chelsea Green, New York (2004)Google Scholar
  16. 16.
    Mamdani, E.H.: Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans. Comput. C-26, 1182–1191 (1977)Google Scholar
  17. 17.
    Notterman, J.M.: Forms of Psychological Inquiry. Columbia University Press, New York (1985)Google Scholar
  18. 18.
    Notterman, J.M.: Note on reductionism in cognitive psychology: reification of cognitive processes into mind, mind-brain equivalence, and brain-computer analogy. J. Theor. Philos. Psychol. 20, 116–121 (2000)CrossRefGoogle Scholar
  19. 19.
    Quine, W.V.: Mathematical Logic. Harper, New York (1940)Google Scholar
  20. 20.
    Searle, J.: Consciousness, explanatory inversion and cognitive science. Behav. Brain Sci. 13, 585–642 (1990)CrossRefGoogle Scholar
  21. 21.
    Smithson, M.: Fuzzy Set Analysis for Behavioral and Social Sciences. Springer, New York (1987)CrossRefGoogle Scholar
  22. 22.
    Wilson, R.A., Keil, F.C. (eds.): The MIT Encyclopedia of the Cognitive Sciences. MIT Press, Cambridge (1999)Google Scholar
  23. 23.
    Zadeh, L.A.: A system-theoretic view of behavior modification. In: Wheeler, H. (ed.) Beyond the Punitive Society. W.H. Freeman and Co., 1973. Reprinted. In: Klir, G. (ed.) Zadeh, L.: Fuzzy Sets, Fuzzy Logic and Fuzzy Systems, Vol. One. World Scientific (1997)Google Scholar
  24. 24.
    Zadeh, L.A.: From computing with numbers to computing with words—from manipulation of measurement to manipulation of perceptions. IEEE Trans. Circuits Syst I: Fundam. Theory Appl. 45(1), 105–119 (1999)CrossRefMathSciNetGoogle Scholar
  25. 25.
    Zadeh, L.A.: Computing with Words. Springer, Heidelberg (2012)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institut Mediterrani d’Estudis Avançats Spanish Council for Scientific Research/CSICMallorcaSpain

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