| nosof94exalcove {catlearn} | R Documentation |
Simulation of CIRP nosof94 with ex-ALCOVE model
Description
Runs a simulation of the nosof94 CIRP using the
slpALCOVE model implementation as an exemplar model and
nosof94train as the input representation.
Usage
nosof94exalcove(params = NULL)
Arguments
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
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Details
N.B.: This simulation uses a standard version of ALCOVE. For a
replication of the ALCOVE simulation of these data reported by
Nosofsky et al. (1994), which is non-standard in a number of respects,
see nosof94bnalcove.
An exemplar-based simulation using slpALCOVE and
nosof94train. The co-ordinates for the radial-basis units
are assumed, and use the same binary representation as the abstract
category structure.
Other parameters of slpALCOVE are set as follows: r = 1,
q = 1, initial alpha = 1/3, initial w = 0. These
values are conventions of modeling with ALCOVE, and should not be
considered as free parameters. They are set within the
nosof88exalcove function, and hence can't be changed without
re-writing the function.
This simulation is reported in Wills & O'Connell (n.d.).
Value
A matrix of predicted response probabilities, in the same order and
format as the observed data contained in nosof94.
Author(s)
Andy Wills
References
Nosofsky, R.M., Gluck, M.A., Plameri, T.J., McKinley, S.C. and Glauthier, P. (1994). Comparing models of rule-based classification learning: A replication and extension of Shepaard, Hovland, and Jenkins (1961). Memory and Cognition, 22, 352–369
Wills, A.J. & O'Connell (n.d.). Averaging abstractions. Manuscript in preparation.
See Also
nosof94, nosof94oat,
nosof94train, slpALCOVE,
nosof94bnalcove