Signal detection by human observers: a cutoff reinforcement learning model of categorization decisions under uncertainty.

@article{Erev1998SignalDB,
  title={Signal detection by human observers: a cutoff reinforcement learning model of categorization decisions under uncertainty.},
  author={Ido Erev},
  journal={Psychological review},
  year={1998},
  volume={105 2},
  pages={280-98}
}
  • Ido Erev
  • Published 1998 in Psychological review
Previous experimental examinations of binary categorization decisions have documented robust behavioral regularities that cannot be predicted by signal detection theory (D.M. Green & J.A. Swets, 1966/1988). The present article reviews the known regularities and demonstrates that they can be accounted for by a minimal modification of signal detection theory: the replacement of the "ideal observer" cutoff placement rule with a cutoff reinforcement learning rule. This modification is derived from… CONTINUE READING
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