Computational modeling of choice-induced preference change: A Reinforcement-Learning-based approach.

ABSTRACT: The value learning process has been investigated using decision-making tasks with a correct answer specified by the external environment (externally guided decision-making, EDM). In EDM, people are required to adjust their choices based on feedback, and the learning process is generally explained by the reinforcement learning (RL) model. In addition to EDM, value is learned through internally guided decision-making (IDM), in which no correct answer defined by external circumstances is available, such as preference judgment. In IDM, it has been believed that the value of the chosen item is increased and that of the rejected item is decreased (choice-induced preference change; CIPC). An RL-based model called the choice-based learning (CBL) model had been proposed to describe CIPC, in which t

SUBMITTER: Zhu J 

PROVIDER: S-EPMC7790366 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature