Probability Associator Time (PASS-T)
Description
Simulates judgments of frequency and duration based on
the Probability Associator Time (PASS-T) model. PASS-T is a memory
model based on a simple competitive artificial neural network. It
can imitate human judgments of frequency and duration, which have
been extensively studied in cognitive psychology
(e.g. Hintzman (1970) , Betsch et al. (2010)
). The PASS-T model
is an extension of the PASS model (Sedlmeier, 2002,
ISBN:0198508638). The package provides an easy way to run
simulations, which can then be compared with empirical data in
human judgments of frequency and duration.