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A Knowledge-Construction Perspective on Human Computing, Collaborative Behavior and New Trends in System Interactions

  • Isabel Cafezeiro
  • Carmem Gadelha
  • Virginia Chaitin
  • Ivan da Costa Marques
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8510)

Abstract

This article presents an analysis of collaborative behavior within the historical process of the construction of scientific thought. We start from evidence that the origin of computing was immersed in a conceptual background heavily dominated by structuring thought, resulting in a mode of thinking organized around a centralized unit, strengthening categorization, disciplinarity and a predominant dichotomous logic. However, the new settings in which computer systems are involved, such as collaborative behavior and human computation, reveal a mode of thought and organization within an acentered model of realization. Sociology of knowledge helps us to understand this dynamic, allowing us to verify that the rhizomatic model of realization embraces not only what is traditionally viewed as the setting of computer systems, but also extends to the way of thinking, organization and operation of collective relations around computer systems.

Keywords

human computing collaborative behavior sociology of knowledge hybrids rhizome 

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References

  1. 1.
    Law, J.: Traduction/Trahison: Notes on ANT. Department of Sociology Lancaster University, http://www.lancaster.ac.uk/sociology/stslaw2.html
  2. 2.
    Deleuze, G., Guatttari, F.: A thousand plateaus: capitalism and schizophrenia. University of Minnesota Press (1987)Google Scholar
  3. 3.
    Daston, L., Galison, P.: Objectivity. Zone Books, New York (2007)Google Scholar
  4. 4.
    Fleck, L.: Genesis and Development of a Scientific Fact. University of Chicago Press (1935, 1981)Google Scholar
  5. 5.
    Russell, B.: Introduction to Mathematical Philosophy. George Allen & Unwin, Ltd., London (1919)zbMATHGoogle Scholar
  6. 6.
    James, W.: The Meaning of Truth (1907), http://ebooks.adelaide.edu.au/j/james/william/meaning/
  7. 7.
    Hahn, H., Neurath, O., Carnap, R.: The Scientific Conception of the World. The Vienna Circle, PhilPapers http://philpapers.org/rec/HAHTSC
  8. 8.
    Decartes, R.: Discourse on the Method of Rightly Conducting One’s Reason and of Seeking Truth (1637) GutemberProject, http://www.gutenberg.org/ebooks/59
  9. 9.
    Turing, A.: On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, Series 2, (42), 230–265 (1936)Google Scholar
  10. 10.
    Latour, B.: Nous n’avons jamais été modernes. Editions La Decouverte, Paris (1991)Google Scholar
  11. 11.
    Mannheim, K.: Ideology and Utopia, An Introduction to the Sociology of Knowledge. Harcourt, Brace & Co., New York (1954)Google Scholar
  12. 12.
    Bloor, D.: Knowledge and social imagery. University of Chicago Press, Chicago (1991)Google Scholar
  13. 13.
    Lévi-Strauss, C.: The savage mind. Weidenfeld and Nicolson Inc., London (1966)Google Scholar
  14. 14.
    Gödel, K.: Über Formal Unentscheidbare Sätze der Principia Mathematica und verwandter Systeme. I, Monatsch. Math. Phys. 38, 173–178 (1931)CrossRefGoogle Scholar
  15. 15.
    Franzén, T.: Gödel’s theorem, an incomplete guide to its use and abuse. Lulea University of technology Sweden (2005)Google Scholar
  16. 16.
    Latour, B.: Science in Action: How to Follow Scientists and Engineers through Society. Harvard University Press, Cambridge (1987)Google Scholar
  17. 17.
    Kidder, T.: The soul of a new Machine. Aller Laner, London (1981)Google Scholar
  18. 18.
    Ahn, L., Blum, M., Langford, J.: Telling Human and Computers apart. Communications of the ACM 47(2), 58–60 (2004)Google Scholar
  19. 19.
    Ahn, L., Maurer, B., McMiller, C., AbrAhn, D., Blum, M.: reCAPTCHA: Human-Based Character Recognition via Web Security Measure. Science 321 (September 12, 2008)Google Scholar
  20. 20.
    Turing, A.: Computing machinery and intelligence. Mind 59, 433–460 (1950)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Isabel Cafezeiro
    • 1
    • 2
  • Carmem Gadelha
    • 3
  • Virginia Chaitin
    • 2
  • Ivan da Costa Marques
    • 2
  1. 1.Computing Institute, Vocational Masters Course in Diversity and InclusionFluminense Federal UniversityBrazil
  2. 2.Graduate Program of History of Science and Techniques and EpistemologyFederal University of Rio de JaneiroBrazil
  3. 3.School of CommunicationFederal University of Rio de JaneiroBrazil

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