Simulated Data for Reinforcement Feedback Functions

该数据集包含了模拟的不同行为与强化时间表互动的比率，特别关注了在间歇性强化（RI）和随机差异化强化时间表（RDRL）中，不同强化反馈功能（RFF）的影响。此外，该数据集允许通过比较不同的RFF，包括使用贝叶斯信息准则（BIC）和赤池信息准则（AIC）进行拟合优度测量和简约性评估。这是一份大规模的模拟数据，其任务是通过模拟来评估强化反馈功能。

This dataset contains simulated ratios of interactions between various behaviors and reinforcement schedules, with a particular focus on the impacts of different reinforcement feedback functions (RFF) under intermittent reinforcement (RI) and random differential reinforcement schedule (RDRL). Furthermore, this dataset enables comparison across distinct RFFs, supporting goodness-of-fit measurement and parsimony evaluation using Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC). This is a large-scale simulated dataset whose core purpose is to evaluate reinforcement feedback functions through simulation.