Abstract
A Bayesian processor of proximal stimuli is proposed which contains desirable features. The universality of the model is discussed and it is compared with signal detection theory models.
A Bayesian processor of proximal stimuli is proposed which contains desirable features. The universality of the model is discussed and it is compared with signal detection theory models.
In: Seventh annual conference on manual control : proceedings of a meeting held at University of Southern California, June 2-4, 1971, p. 187-196, 4 fig., 4 graph., 1 tab., 15 ref.
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