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A Markov model description of changeover probabilities on concurrent variable-interval schedules

机译:并发可变间隔计划的转换概率的马尔可夫模型描述

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摘要

The primary data were peck-by-peck sequential records of four pigeons responding on several different concurrent variable-interval schedules. According to the hypothesis that the subject chooses the alternative with the highest probability of reinforcement at the moment, response-by-response performance in concurrent schedules should show sequential dependencies. However, such dependencies were not found, and it was possible to describe molecular-level performance with simple Markov chain models. The Markov model description implies that the momentary changeover probabilities were proportional to the overall relative reinforcement frequencies, and that changeover probabilities did not change as a function of previous responding. A second finding was that although a changeover-delay procedure was omitted, relative response frequencies closely approximated relative reinforcement frequencies.
机译:主要数据是在几种不同的并发可变间隔时间表上响应的四只鸽子的逐项记录。根据这一假设,即受试者选择了当前强化可能性最高的替代方案,并发时间表中的逐个响应表现应显示出顺序依赖性。但是,未找到这种依赖性,并且可以使用简单的马尔可夫链模型描述分子水平的性能。马尔可夫模型的描述表明,瞬时转换概率与整体相对增强频率成正比,并且转换概率不随先前响应而变化。第二个发现是,尽管省略了转换延迟程序,但相对响应频率却非常接近相对增强频率。

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