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
Link To Document :
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