RSAModelLL1_2: Cost function for one parameter optimization. Optimizing...

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

Description

Full-RSA

1 parameter optimization; The non-obedience parameter is optimized.

The softness parameter and the alpha parameter are set to certain values.

Usage

RSAModelLL1_2(params, data)

Arguments

params

One value vector specifying one of the three parameters to be optimized: softPrefValue parameter is fixed at 0, i.e. The strength of "preferring one entity over others". (The larger the value the higher the tendency towards uniform liking) non-obedience parameter is optimized, i.e. The extent to which the instruction of the speaker is obeyed by the listener. (0 = full obedience, infinity = full instruction ignorance). alpha parameter is fixed at 1, i.e. An exponential scaling of the speaker choosing the utterance that maximizes the chance of the listener getting the target object right.

data

A matrix with data rows. column structure: [1:OC1,OC2,OC3,4:UUFeat, 5:Q1Feat,6:Q2Feat] [7:Q1AnswerV1,V2,V3, 10:Q2AnswerV1,V2,V3] 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:UUFeat Uttered feature. A number between 1 and 3. (1: shape, 2: pattern, 3: color) 5:Q1Feat Questioned feature 1. A number between 1 and 3. (1: shape, 2: pattern, 3: color). Example: If you utter "blue" (feature: color), then you can learn something about shape and texture preferences. 6:Q2Feat Questioned feature 2. A number between 1 and 3. (1: shape, 2: pattern, 3: color). Example: If you utter "blue" (feature: color), then you can learn something about shape and texture preferences. 7:Q1AnswerV1, V2, V3 The columns 7-9 contain the participants' slider values for the first questioned feature. 10:Q2AnswerV1, V2, C3 The columns 10-12 contain the participants' slider values for the second questioned feature.

Details

This function uses RSAModelKLDiv3paramsOnlyAvailableFeatureValuesConsidered.

Value

Minimized Kullback-Leibler divergence and the optimal parameters.

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