View source: R/nosof94bnalcove.R

nosof94bnalcove | R Documentation |

Runs a simulation of the `nosof94`

CIRP using the
`slpALCOVE`

model implementation as an exemplar model and
`nosof94train`

as the input representation. This
simulation replicates the one reported by Nosofsky et al. (1994).

```
nosof94bnalcove(params = c(6.33,0.011,0.409,0.179))
```

`params` |
A vector containing values for c, phi, la, and lw, in
that order. See |

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.

The defaults for `params`

are the best fit of the model to the
`nosof94`

CIRP. The derivation of this fit is described by
Nosofsky et al. (1994).

The other parameters of slpALCOVE are set as follows: `r`

= 1,
`q`

= 1, initial `alpha`

= 1 / number of 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
`nosof88bnalcove`

function, and hence can't be changed without
re-writing the function.

This is a replication of the simulation reported by Nosofsky et al. (1994). Compared to other published simulations with the ALCOVE model, their simulation is non-standard in a number of respects:

1. A background noise ('BN') decision rule is used (other simulations use an exponential ratio rule).

2. As a consequence of #1, absence of a category label is represented by a zero (other simulations use -1).

3. The sum of the attentional weights is constrained to be 1 on every trial (other simulations do not apply this constraint).

The current simulation replicates these non-standard aspects of the Nosofsky et al. (1994) simulation.

A matrix of predicted response probabilities, in the same order and
format as the observed data contained in `nosof94`

.

Andy Wills

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

`nosof94`

, `nosof94oat`

,
`nosof94train`

, `slpALCOVE`

,
`nosof94bnalcove`

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