Runs a simulation of the
shin92 CIRP using the
slpALCOVE model implementation as an exemplar model and
shin92train as the input representation.
shin92exalcove(params = NULL)
A vector containing values for c, phi, la, and lw, in
that order, e.g. params = c(2.1, 0.6, 0.09, 0.9). See
An exemplar-based simulation using
shin92train. The co-ordinates for the radial-basis units
are derived from the test stimuli in
output is the average of 100 simulated subjects.
The defaults for
params are the best fit of the model to the
shin92 CIRP. They were derived through minimization of
SSE using non-linear optimization from 16 different initial
states (using code not included in this archive).
The other parameters of slpALCOVE are set as follows:
r = 2,
q = 1, initial
alpha = 1 / (number of input dimensions),
w = 0. These values are conventions of modeling with
ALCOVE, and should not be considered as free parameters. They are set
shin92exaclove function, and hence can't be changed
without re-writing the function.
This simulation was reported in Wills et al. (2017).
A matrix of predicted response probabilities, in the same order and
format as the observed data contained in
Andy Wills & Garret O'Connell
Shin, H.J. & Nosofsky, R.M. (1992). Similarity-scaling studies of dot-pattern classification and recognition. Journal of Experimental Psychology: General, 121, 278–304.
Wills, A.J., O'Connell, G., Edmunds, C.E.R. & Inkster, A.B. (2017). Progress in modeling through distributed collaboration: Concepts, tools, and category-learning examples. The Psychology of Learning and Motivation, 66, 79-115.
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