Table 4 Model parameters of the HYBRID model as a function of the dataset used for parameter optimization (learning sessions, transfer test or Both) and the computational model

From: Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences

 

Experiment 1 (N = 20)

Experiment 2 (N = 40)

Both experiments (N = 60)

 

Learning sessions

Transfer test

Both

Learning sessions

Transfer test

Both

Learning sessions

Transfer test

Both

β

0.15 ± 0.04

0.12 ± 0.03

0.09 ± 0.02

0.30 ± 0.11

0.13 ± 0.04

0.17 ± 0.04

0.25 ± 0.08

0.13 ± 0.03

0.15 ± 0.03

α F

0.25 ± 0.06

0.30 ± 0.08

0.14 ± 0.04

0.23 ± 0.04

0.34 ± 0.07

0.20 ± 0.04

0.24 ± 0.04

0.33 ± 0.05

0.18 ± 0.03

α C

—

—

—

0.16 ± 0.04

0.25 ± 0.05

0.16 ± 0.03

—

—

—

ω

0.29 ± 0.07

0.34 ± 0.06

0.34 ± 0.06

0.52 ± 0.06

0.58 ± 0.06

0.58 ± 0.05

0.44 ± 0.05

0.50 ± 0.05

0.50 ± 0.04

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