View source: R/nosof88protoalcove.R
nosof88protoalcove | R Documentation |
Runs a simulation of the nosof88
CIRP using the
slpALCOVE
model implementation as a prototype model and
nosof88train
as the input representation.
nosof88protoalcove(params = NULL)
params |
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 prototype-based simulation using slpALCOVE
and
nosof88train
. There is one radial-basis unit for each
category, representing the prototype. These prototypes are calculated
by taking the mean of the co-ordinates of the stimuli in a category,
with the stimulus co-ordinates coming from the multdimensional
scaling solution reported by Nosofsky (1987). The calculations of the
means are weighted by the instantiation frequency of the
stimuli. Hence, the prototypes for each condition of the experiment
are different.
Other parameters of slpALCOVE are set as follows: r
= 2,
q
= 1, initial alpha
= 1 / (number of input dimensions),
initial w
= 0. These values are conventions of modeling with
ALCOVE, and should not be considered as free parameters. They are set
within the nosof88protoalcove
function, and hence can not be
changed without re-writing the function.
This simulation is reported in Wills & O'Connell (n.d.).
A matrix of predicted response probabilities, in the same order and
format as the observed data contained in nosof88
.
Andy Wills & Garret O'Connell
Nosofsky, R.M. (1987). Attention and learning processes in the identification and categorization of integral stimuli, Journal of Experimental Psychology: Learning, Memory and Cognition, 13, 87-108.
Wills, A.J. & O'Connell (n.d.). Averaging abstractions. Manuscript in preparation.
nosof88
, nosof88oat
,
nosof88train
, slpALCOVE
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