Experimentally revealed stochastic preferences for multi-component choice options
Alexandre Pastor‐Bernier, Konstantin Volkmann, Arkadiusz Stasiak, Fabian Grabenhorst, Wolfram Schultz
The paper investigates how humans and monkeys make choices between multi-component rewards, showing that preferences can be represented as single-dimensional trade-offs using indifference curves and validated by machine learning.
bioRxiv · May 23, 2020 · PreprintNeuroscience