RSAModelUttKLDivParamB: Cost function for one parameter optimization for the...

In haniaelkersh/rsa-publish-test: Prior Inference Package

Description

Full-RSA

Non-obedience is optimized.

Softness is fixed at 0 and klValueFactor at 1.

Usage

RSAModelUttKLDivParamB(par, data)

Arguments

par

One value vector, which specifies one of three parameters to be optimized: non-obedience: This parameter determines the extent to which the instruction of the speaker is obeyed by the listener. (0 = full obedience, infinity = full instruction ignorance). Example: 0: Listener always picks red objects following the utterance "red". infinity: Listener as likely to pick green, blue or red objects even if the utterance is "red".

data

A matrix with data rows. column structure: [1:OC1,OC2,OC3,4:numUttOptions,7-X:TurkerSliderValues] 1:OC1 Object 1. A value between 1 and 27. 2:OC2 Object 2. A value between 1 and 27. 3:OC3 Object 3. A value between 1 and 27. 4:numUttOptions The number of valid utterances in the scene. 7-X:TurkerSliderValues These columns contain the participants' slider values.

Details

This function uses RSAModelUttKLDiv_3params.

Value

Minimized Kullback-Leibler divergence and the optimal parameters.

haniaelkersh/rsa-publish-test documentation built on Jan. 31, 2021, 2:02 a.m.