Advertisement

How Philosophy, Science and Technologies Studies, and Feminist Studies of Technology Can Be of Use for Soft Computing

  • Veronica Sanz
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 273)

Abstract

Artificial Intelligence has been one of the fields within Computer Science that has generated more interest and debates among philosophers. Later on, the most recent fields of Science and Technology Studies (STS), and Feminist Studies of Technology (FST) have also shown some interest in AI. In both cases most of the authors have been quite critical about the promises, practices and, particularly, the epistemological basis of Classical AI. The first part of the paper consists on an enumeration of the most important authors and their critiques to AI from Philosophy, STS studies and FST. Since Soft Computing entails important changes with respect to traditional AI approaches, the second part of the paper will be devoted to confront Soft Computing with the previous critiques and challenges to AI and to weight up to what extent Soft Computing could (or could not) answer differently than other AI approaches to these critiques and challenges.

Keywords

Fuzzy Logic Soft Computing Propositional Knowledge Feminist Study Feminine Gender 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Adam, A.: Artificial Knowing. Gender and the Thinking Machine. Routledge, London (1998)Google Scholar
  2. 2.
    Agre, P.: Computation and Human Experience. Cambridge University Press, Cambridge (1997)CrossRefGoogle Scholar
  3. 3.
    Alcoff, L., Potter, E. (eds.): Feminist Epistemologies. Routledge, New York (1993)Google Scholar
  4. 4.
    Bloor, D.: Knowledge and Social Imagery. Routledge, London (1976)Google Scholar
  5. 5.
    Brooks, R.A.: Intelligence without representation. Artificial Intelligence 47, 139–159 (1991)CrossRefGoogle Scholar
  6. 6.
    Code, L.: What Can She Know? Feminist Theory and the Construction of Knowledge. Cornel Univ. Press, Ithaca (1991)Google Scholar
  7. 7.
    Code, L.: Taking Subjectivity into Account. In: Alcoff, L., Potter, E. (ed.) Feminist Epistemologies, pp. 15–48Google Scholar
  8. 8.
    Collins, H.M. (ed.): Artificial Experts: Social Knowledge and Intelligent Machines. MIT Press, Cambridge (1990)Google Scholar
  9. 9.
    Dennett, D.: The Intentional Stance. MIT Press, Cambridge (1987)Google Scholar
  10. 10.
    Dreyfus, H.L.: What Computers Can’t Do: The Limits of Artificial Intelligence. Harper and Row, New York (1972)Google Scholar
  11. 11.
    Dreyfus, H.L.: What Computers Still Can’t Do: A Critique of Artificial Reason. MIT Press, Cambridge (1992)Google Scholar
  12. 12.
    Forsythe, D.: Engineering Knowledge: The Construction of Knowledge in Artificial Intelligence. Social Studies of Science 23(3), 445–477 (1993)CrossRefGoogle Scholar
  13. 13.
    Guadarrama, S.: Computing with Actions: The case of driving a car in a simulated car race. In: International Fuzzy Systems Association-European Society for Fuzzy Logic and technologies (IFSA-EUSFLAT) World Congress, pp. 1410–1415 (2009)Google Scholar
  14. 14.
    Haraway, D.: Simians, Cyborgs, and Women: The Reinvention of Nature. Routledge, New York (1991)Google Scholar
  15. 15.
    Harding, S.: Whose Science? Whose Knowledge? Cornell University Press, Ithaca (1991)Google Scholar
  16. 16.
    Keller, E.F.: Reflections on Gender and Science. Yale University Press, New Haven (1985)Google Scholar
  17. 17.
    Latour, B., Woolgar, S.: Laboratory Life. Sage Publications, Beverly Hills (1979)Google Scholar
  18. 18.
    Lenat, D.B., Guha, R.V.: Building Large Knowledge-Bused Systems: Representation and Inference in the Cyc Project. Addison Wesley, Reading (1990)Google Scholar
  19. 19.
    Penrose, R.: The Emperor’s New Mind. OUP, Oxford (1989)Google Scholar
  20. 20.
    Searle, J.: Minds, brains and programs. Behavioral and Brain Sciences 3, 417–457 (1980)CrossRefGoogle Scholar
  21. 21.
    Suchman, L.: Plans and Situated Action: The Problem of Human-Machine Communication. Cambridge University Press, New York (1987)Google Scholar
  22. 22.
    Suchman, L.: Located Accountabilities in Technology Production and Use. Scandinavian Journal of Information Systems 14(9), 1–105 (2002)Google Scholar
  23. 23.
    Suchman, L.: Human-Machine Reconfigurations. Plans and Situated Action, 2nd edn. Cambridge University Press, Cambridge (2007)Google Scholar
  24. 24.
    Trillas, E.: La Inteligencia artificial. Máquinas y personas. Madrid, Ed, Debate (1998)Google Scholar
  25. 25.
    Trillas, E., Moraga, C., Guadarrama, S.: A (naïve) glance at Soft Computing. International Journal of Computational Intelligence and Systems (in Press, 2011)Google Scholar
  26. 26.
    Turing, A.: Computing Machinery and Intelligence. Mind 59, 433–460 (1950)MathSciNetCrossRefGoogle Scholar
  27. 27.
    Wittgenstein, L.: Philosophical Investigations (PI). In: Anscombe, G.E.M., Rhees, R. (eds.). Blackwell, Oxford (1953)Google Scholar
  28. 28.
    Yamakawa, T.: Stabilization of an inverted pendulum by a high-speed fuzzy logic controller hardware system. Fuzzy Sets and Systems 32, 161–180 (1989)CrossRefGoogle Scholar
  29. 29.
    Zadeh, L.A.: Fuzzy Logic = Computing with Words. IEEE Trans. Fuzzy Systems 4(2), 103–111 (1996)MathSciNetCrossRefGoogle Scholar
  30. 30.
    Zadeh, L.A.: Commonsense Knowledge Representation based on Fuzzy Logic. IEEE, 61–65 (October 1983)Google Scholar
  31. 31.
    Zadeh, L.A.: A computational theory of dispositions. In: Proceedings of the 10th International Conference on Computational Linguistics, pp. 312–318 (1984)Google Scholar
  32. 32.
    Zadeh, L.A.: Soft computing and fuzzy logic. IEEE Software 11(6), 48–56 (1994)CrossRefGoogle Scholar
  33. 33.
    Zadeh, L.A.: Toward Human Level Machine Intelligence- Is It Achievable? The Need for a Paradigm Shift. IEEE Computational Intelligence Magazine, 11–22 (August 2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Veronica Sanz
    • 1
  1. 1.Science, Technology and Society CenterUniversity of California at BerkeleyBerkeleyUSA

Personalised recommendations