Description
Usage
Arguments
Details
Value
View source: R/SRSA_UttChoiceOptimization_FeatureTypeFocus.R
Simple RSA
Softness, non-obedience and klValueFactor are optimized.
params |
Three value vector specifying three of the three parameters to be optimized.
softPrefValue: 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: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".
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
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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.
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This function uses SimpleRSAModelUttKLDiv_3paramsFTF.
Minimized Kullback-Leibler divergence and the optimal parameters.
CognitiveModeling/priorinference documentation built on Aug. 9, 2021, 12:14 p.m.
