View source: R/shin92protoalcove.R
shin92protoalcove | R Documentation |
Runs a simulation of the shin92
CIRP using the
slpALCOVE
model implementation as a prototype model and
shin92train
as the input representation.
shin92protoalcove(params = NULL)
params |
A vector containing values for c, phi, la, and lw, in
that orderr, e.g. params = c(2.1, 0.6, 0.09, 0.9). See
|
An exemplar-based simulation using slpALCOVE
and
shin92train
. The co-ordinates for the radial-basis units
for the two prototypes are derived from the arithmetic means of the
test stimuli in shin92train
. The 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),
inital w
= 0. These values are conventions of modeling with
ALCOVE, and should not be considered as free parameters. They are set
within the 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 shin92
.
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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