• DocumentCode
    1406316
  • Title

    Stochastic Learning and a Quantal Model of Signal Detection

  • Author

    Norman, D.A.

  • Author_Institution
    Center for Cognitive Studies, Harvard University, Cambridge, Mass.
  • Volume
    83
  • Issue
    74
  • fYear
    1964
  • Firstpage
    292
  • Lastpage
    296
  • Abstract
    Psychologists approach problems differently from engineers, in that they are concerned with actual, not optimal, behavior. They ask what mechanisms humans use, how their behavior can best be described, and what affects their performance. This paper will discuss one such behavioral problem, the way in which a change in an auditory signal is detected. It will be necessary to consider three clearly established factors that contribute to actual detection behavior: the physiological effect of the signal on the observer, his motivations, and the learning that takes place.
  • Keywords
    Automata; Biological neural networks; Biophysics; Books; Central nervous system; Event detection; Probability; Psychology; Signal detection; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Applications and Industry, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0536-1524
  • Type

    jour

  • DOI
    10.1109/TAI.1964.5407759
  • Filename
    5407759