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