Supplementary Materials: Chapter 1 - The Charm of Cognitive Computational Modeling (认知计算模型的魅力在哪里?)
Abstract
This OSF project contains the R code, simulated data, and supplementary materials for Chapter 1: The Charm of Cognitive Computational Modeling. Authors: Lei Zhang (University of Birmingham) & Yushan Cen (Southwest University). Content: This chapter introduces the basics of computational modeling in psychology, specifically focusing on Reinforcement Learning (RL) models, Bayesian estimation, and practical implementation using the hBayesDM package. Files: bandit_data_N40.txt: Simulated data for the two-armed bandit task. Bandit_2arm_eg.R: R script for data preparation, model fitting, and visualization.
Fields of Study & Subjects
Decision-Making and Behavioral Economics
Neural and Behavioral Psychology Studies
Statistical Methods and Bayesian Inference
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 13 January 2026
- Document type
- Preprint