nosof88exalcove: Simulation of CIRP nosof88 with ex-ALCOVE model

Description Usage Arguments Details Value Author(s) References See Also

View source: R/nosof88exalcove.R


Runs a simulation of the nosof88 CIRP using the slpALCOVE model implementation as an exemplar model and nosof88train as the input representation.


  nosof88exalcove(params = c(0.787,2.359,0.990,0.057))



A vector containing values for c, phi, la, and lw, in that order. See slpALCOVE for an explanation of these parameters.


An exemplar-based simulation using slpALCOVE and nosof88train. The co-ordinates for the radial-basis units are taken from the multdimensional scaling solution for these stimuli reported by Nosofsky (1987).

The defaults for params are the best fit of the model to the nosof88 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), 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.).


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.

See Also

nosof88, nosof88oat, nosof88train, slpALCOVE

catlearn documentation built on May 30, 2017, 4:16 a.m.