Psychometrika

, Volume 26, Issue 1, pp 85–91 | Cite as

Computer models of cognitive processes

  • Bert F. GreenJr.
Article

Conclusion

From the small sample of achievements that I have had time to mention, we can only conclude that automation is here to stay. Nor is there any doubt that more powerful automata will be built. A great many of the “higher” human abilities will be given to machines. The great rush to automation is sure to stimulate psychologists to learn more about the human symbolic processes being mimicked by the machines. And the computers, which are the ultimate cause of the feverish scramble toward automation, are providing both the framework for describing complex models of behavior and also the means for testing these models. With both the means and the motivation at hand, psychologists are sure to make rapid progress in understanding complex human behavior.

Keywords

Computer Model Public Policy Cognitive Process Complex Model Statistical Theory 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Boring, E. G. Mind and machinism.Amer. J. Psychol., 1946,59, 173–192.Google Scholar
  2. [2]
    Doyle, W. Recognition of sloppy hand-printed characters.Proc. Western Joint Computer Conf., 1960,17, 133–143.Google Scholar
  3. [3]
    Forgie, J. W. and Forgie, C. D. Results obtained from a vowel recognition computer program.J. acoust. Soc. Amer., 1959,31, 1480–1489.Google Scholar
  4. [4]
    Friedberg, R. M. A learning machine, Part 1.IBM J. Res. and Devel., 1958,2, 2–13.Google Scholar
  5. [5]
    Gelernter, H., Hansen, J. R., and Loveland, D. W. Empirical explorations of the geometry theorem machine.Proc. Western Joint Computer Conf., 1960,17, 143–150.Google Scholar
  6. [6]
    McCulloch, W. S. and Pitts, W. A logical calculus of the ideas immanent in nervous activity.Bull. Math. Biophys., 1943,5, 115.Google Scholar
  7. [7]
    Miller, G. A., Galanter, E., and Pribram, K. H.Plans and the structure of behavior. New York: Holt, 1960.Google Scholar
  8. [8]
    Newell, A., Shaw, J. C., and Simon, H. A. Elements of a theory of human problem solving.Psychol. Rev., 1958,65, 151–166.Google Scholar
  9. [9]
    Rashevsky, N.Mathematical biophysics, Chicago: Univ. Chicago Press, 1948.Google Scholar
  10. [10]
    Rosenblatt, F. The perceptron: a probabilistic model for information storage and organization in the brain.Psychol. Rev., 1958,65, 386–408.Google Scholar

Copyright information

© Psychometric Society 1961

Authors and Affiliations

  • Bert F. GreenJr.
    • 1
  1. 1.Lincoln LaboratoryMassachusetts Institute of TechnologyUSA

Personalised recommendations