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A SIMPLE LEARNING MODEL FOR SIGNAL DETECTION TASKS
Author(s) -
Ambler Stephen
Publication year - 1976
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1976.tb00712.x
Subject(s) - detection theory , simple (philosophy) , probabilistic logic , signal (programming language) , computer science , matching (statistics) , artificial intelligence , machine learning , statistical model , decision rule , algorithm , pattern recognition (psychology) , mathematics , statistics , detector , telecommunications , philosophy , epistemology , programming language
A simple learning model is developed for signal detection tasks. The model replaces the cut‐off decision rule of signal detection theory by a probabilistic rule. The ROC curves predicted are indistinguishable from those predicted by signal detection theory. The model has the added advantage however of describing well ‘non‐optimal’ behaviour and predicts probability matching under some circumstances.