Cost function for two parameter optimization for the utterance choice experiments. (iterative setting) Optimizing non-obedience and klValueFactor. Softness is fixed. — SimpleRSAModelUttKLDivParamBK.2

Simple RSA

Non-obedience and klValueFactor are optimized.

Softness is fixed at 0.2.

SimpleRSAModelUttKLDivParamBK.2_iterative(params, data)

Arguments

params

params	Two value vector specifying two of the three parameters to be optimized. 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". klValueFactor: A parameter that can be negative, 0 or positive: zero Don't care about learning about feature preferences of the listener positive Care about learning about feature preferences of the listener negative Trying to pick non-ambiguous utterances
data	A matrix with data rows. column structure: `[1:OC1,OC2,OC3,4:numUttOptions,6: picked utterance]` 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. 6: picked utterance The utterance picked by the participant.

Two value vector specifying two of the three parameters to be optimized.

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".
klValueFactor: A parameter that can be negative, 0 or positive:

zero
Don't care about learning about feature preferences of the listener

positive
Care about learning about feature preferences of the listener

negative
Trying to pick non-ambiguous utterances

data

A matrix with data rows.

column structure: [1:OC1,OC2,OC3,4:numUttOptions,6: picked utterance]

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.

6: picked utterance The utterance picked by the participant.

Minimized Kullback-Leibler divergence and the optimal parameters.

This is the iterative version of SimpleRSAModelUttKLDivParamBK.2.