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Matching, induction, and covariance with mixed response-contingent food and noncontingent food
Journal of the Experimental Analysis of Behavior ( IF 1.4 ) Pub Date : 2021-05-06 , DOI: 10.1002/jeab.689
William M Baum 1
Affiliation  

The multiscale molar view of behavior is based on three basic laws of behavior: the Law of Allocation, the Law of Induction, and the Law of Covariance. Experiments that mix response-contingent food with noncontingent food shed light on these three laws. Food, like other phylogenetically important events, induces various activities that compete in allocation. Quantitative accounts represent induction with power functions. These power functions define activities' competitive weights, and relative time allocation among activities matches relative competitive weight. Behavior–food covariance determines which activities are induced. Phylogenetic (behavior–fitness) covariance determines which adjunctive activities are induced. Ontogenetic covariance may be represented in feedback functions. Feedback functions for variable-interval schedules may be observed even when overlaid by noncontingent food deliveries. Equations derived from the three laws describe responding in experiments with mixed response-contingent and noncontingent food. Equations derived here accounted for responding in three data sets: (a) from Rachlin and Baum (1972); (b) a new data set in which overall food rate was fixed while the proportion of response-contingent and noncontingent food varied; and (c) a new data set in which food occurred according to various variable-interval schedules. The same pigeons served throughout. All results were accommodated by the derived equations.

中文翻译:

混合响应-随机食物和非随机食物的匹配、归纳和协方差

行为的多尺度摩尔观点基于三个基本的行为定律:分配定律、归纳定律和协方差定律。将反应条件食物与非条件食物混合的实验阐明了这三个定律。与其他系统发育重要事件一样,食物会引发各种在分配中竞争的活动。定量帐户代表具有幂函数的归纳。这些幂函数定义了活动的竞争权重,活动之间的相对时间分配与相对竞争权重相匹配。行为-食物协方差决定了诱发哪些活动。系统发育(行为-适应度)协方差决定了诱导哪些辅助活动。个体遗传协方差可以用反馈函数表示。即使与非偶然的食物交付重叠,也可以观察到可变间隔时间表的反馈函数。从这三个定律导出的方程描述了在混合响应-偶然和非偶然食物的实验中的反应。这里推导出的方程在三个数据集中解释了响应:(a) 来自 Rachlin 和 Baum (1972);(b) 一个新的数据集,其中总食物率是固定的,而随反应和非随反应食物的比例不同;(c) 一个新的数据集,其中食物根据各种可变间隔时间表发生。全程使用相同的鸽子。所有结果都包含在导出的方程中。这里推导出的方程在三个数据集中解释了响应:(a) 来自 Rachlin 和 Baum (1972);(b) 一个新的数据集,其中总食物率是固定的,而随反应和非随反应食物的比例不同;(c) 一个新的数据集,其中食物根据各种可变间隔时间表发生。全程使用相同的鸽子。所有结果都包含在导出的方程中。这里推导出的方程在三个数据集中解释了响应:(a) 来自 Rachlin 和 Baum (1972);(b) 一个新的数据集,其中总食物率是固定的,而随反应和非随反应食物的比例不同;(c) 一个新的数据集,其中食物根据各种可变间隔时间表发生。全程使用相同的鸽子。所有结果都包含在导出的方程中。
更新日期:2021-07-15
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