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Tests of Behavioral-Economic Assessments of Relative Reinforcer Efficacy II: Economic Complements

机译:相对增强剂功效的行为经济评估测试II:经济补足

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摘要

This experiment was conducted to test the predictions of two behavioral-economic approaches to quantifying relative reinforcer efficacy. The normalized demand analysis suggests that characteristics of averaged normalized demand curves may be used to predict progressive-ratio breakpoints and peak responding. By contrast, the demand analysis holds that traditional measures of relative reinforcer efficacy (breakpoint, peak response rate, and choice) correspond to specific characteristics of non-normalized demand curves. The accuracy of these predictions was evaluated in rats' responding for food or water: two reinforcers known to function as complements. Consistent with the first approach, predicted peak normalized response output values obtained under single-schedule conditions ordinally predicted progressive-ratio breakpoints and peak response rates obtained in a separate condition. Combining the minimum-needs hypothesis with the normalized demand analysis helped to interpret prior findings, but was less useful in predicting choice between food and water—two strongly complementary reinforcers. Predictions of the demand analysis had mixed success. Peak response outputs predicted from the non-normalized water demand curves were significantly correlated with obtained peak responding for water in a separate condition, but none of the remaining three predicted correlations was statistically significant. The demand analysis fared better in predicting choice—relative consumption of food and water under single schedules of reinforcement predicted preference under concurrent schedules significantly better than chance.
机译:进行该实验以测试两种行为经济学方法对定量相对增强剂功效的预测。归一化需求分析表明,平均归一化需求曲线的特征可用于预测渐进比率断点和峰值响应。相比之下,需求分析认为,传统的相对增强剂功效指标(断点,峰值响应率和选择)对应于非标准化需求曲线的特定特征。在大鼠对食物或水的反应中评估了这些预测的准确性:已知两种补强剂作为补体。与第一种方法一致,在单计划条件下获得的预测峰值归一化响应输出值通常在单独条件下获得预测的渐进比率断点和峰值响应率。将最低需求假设与标准化需求分析相结合有助于解释先前的发现,但在预测食物和水之间的选择方面却没有多大用处,这是两个非常互补的补充。需求分析的预测取得了不同的成功。从非标准化的用水需求曲线预测的峰值响应输出与在单独条件下获得的水的峰值响应显着相关,但是其余三个预测的相关性在统计学上均无统计学意义。需求分析在预测选择方面表现得更好—在单一强化计划下,粮食和水的相对消耗量在并发计划下的预测偏好要好于机会。

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