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本文引用的文献

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Optimization and the matching law as accounts of instrumental behavior.优化与匹配律作为工具性行为的解释。
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The correlation-based law of effect.基于关联的效果律。
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6
On the measurement of reinforcement frequency in the study of preference.关于偏好研究中强化频率的测量。
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环境的定量预测与摩尔描述。

Quantitative prediction and molar description of the environment.

作者信息

Baum W M

出版信息

Behav Anal. 1989 Fall;12(2):167-76. doi: 10.1007/BF03392493.

DOI:10.1007/BF03392493
PMID:22478030
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2742112/
Abstract

Molecular explanations of behavior, based on momentary events and variables that can be measured each time an event occurs, can be contrasted with molar explanations, based on aggregates of events and variables that can be measured only over substantial periods of time. Molecular analyses cannot suffice for quantitative accounts of behavior, because the historical variables that determine behavior are inevitably molar. When molecular explanations are attempted, they always depend on hypothetical constructs that stand as surrogates for molar environmental variables. These constructs allow no quantitative predictions when they are vague, and when they are made precise, they become superfluous, because they can be replaced with molar measures. In contrast to molecular accounts of phenomena like higher responding on ratio schedules than interval schedules and free-operant avoidance, molar accounts tend to be simple and straightforward. Molar theory incorporates the notion that behavior produces consequences that in turn affect the behavior, the notion that behavior and environment together constitute a feedback system. A feedback function specifies the dependence of consequences on behavior, thereby describing properties of the environment. Feedback functions can be derived for simple schedules, complex schedules, and natural resources. A complete theory of behavior requires describing the environment's feedback functions and the organism's functional relations. Molar thinking, both in the laboratory and in the field, can allow quantitative prediction, the mark of a mature science.

摘要

基于瞬间事件以及每次事件发生时均可测量的变量的行为分子解释,可与基于事件集合以及仅能在相当长的时间段内测量的变量的整体解释形成对比。分子分析不足以对行为进行定量描述,因为决定行为的历史变量不可避免地是整体性的。当尝试进行分子解释时,它们总是依赖于作为整体环境变量替代物的假设结构。这些结构在模糊时无法进行定量预测,而当它们变得精确时,就变得多余了,因为它们可以被整体测量所取代。与诸如比率强化程序表上的反应高于间隔强化程序表以及自由操作回避等现象的分子解释不同,整体解释往往简单明了。整体理论包含行为产生后果进而影响行为这一概念,即行为和环境共同构成一个反馈系统。反馈函数规定了后果对行为的依赖性,从而描述了环境的特性。可以为简单强化程序表、复杂强化程序表和自然资源推导出反馈函数。完整的行为理论需要描述环境的反馈函数以及有机体的功能关系。无论是在实验室还是在实地,整体思维都能够实现定量预测,这是一门成熟科学的标志。