Testing Expected Subjective Value Theory in an Empirical Dataset

Autor: Glimcher, Paul, Kurtz-David, Vered
Rok vydání: 2022
Předmět:
DOI: 10.17605/osf.io/hndzt
Popis: Expected Subjective Value Theory (ESVT) is a combined neurobiological and economic theory of choice. It defines a value function for transforming objective reward magnitudes into subjective values for use in choice. In this study we seek to determine whether ESVT outperforms Random Utility Theory and/or Choice set specific Optimal Coding in accounting for human choice behavior.
Databáze: OpenAIRE