Cost function for two parameter optimization for the utterance choice experiments. Optimizing softness and non-obedience. klValueFactor is fixed.

Full-RSA

Softness and non-obedience are optimized.

klValueFactor is fixed at 1.

RSAModelUttKLDivParamAB(params, data)

Arguments

params

params	Two value vector specifying the two parameters to be optimized. softness A parameter value between `[0,infinity)` (The larger the value the higher the tendency towards uniform liking).Value reflects how categorical the listener's preferences are:0: The listener always picks her preferred object.If the listener prefers red objects, she will always pick the red object in the scene.infinity: It is as likely for the listener to pick green, blue or red objects. non-obedience: 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.

Two value vector specifying the two parameters to be optimized.

softness A parameter value between [0,infinity) (The larger the value the higher the tendency towards uniform liking).Value reflects how categorical the listener's preferences are:0: The listener always picks her preferred object.If the listener prefers red objects, she will always pick the red object in the scene.infinity: It is as likely for the listener to pick green, blue or red objects.
non-obedience: 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.

Minimized Kullback-Leibler divergence and the optimal parameters.