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Demonstrator skill modulates observational aversive learning

机译:演示者技能调节观察性厌恶学习

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Learning to avoid danger by observing others can be relatively safe, because it does not incur the potential costs of individual trial and error. However, information gained through social observation might be less reliable than information gained through individual experiences, underscoring the need to apply observational learning critically. In order for observational learning to be adaptive it should be modulated by the skill of the observed person, the demonstrator. To address this issue, we used a probabilistic two-choice task where participants learned to minimize the number of electric shocks through individual learning and by observing a demonstrator performing the same task. By manipulating the demonstrator's skill we varied how useful the observable information was; the demonstrator either learned the task quickly or did not learn it at all (random choices). To investigate the modulatory effect in detail, the task was performed under three conditions of available observable information; no observable information, observation of choices only, and observation of both the choices and their consequences. As predicted, our results showed that observable information can improve performance compared to individual learning, both when the demonstrator is skilled and unskilled; observation of consequences improved performance for both groups while observation of choices only improved performance for the group observing the skilled demonstrator. Reinforcement learning modeling showed that demonstrator skill modulated observational learning from the demonstrator's choices, but not their consequences, by increasing the degree of imitation over time for the group that observed a fast learner. Our results show that humans can adaptively modulate observational learning in response to the usefulness of observable information.
机译:学会通过观察他人来避免危险可能是相对安全的,因为它不会招致个人反复试验的潜在成本。但是,通过社会观察获得的信息可能不如通过个人经历获得的信息可靠,从而强调了必须严格应用观察性学习。为了使观察性学习具有适应性,应根据观察者(演示者)的技能进行调节。为了解决这个问题,我们使用了概率二选题的任务,参与者可以通过个人学习和观察执行相同任务的示威者,来学习尽量减少电击的次数。通过操纵演示者的技能,我们改变了可观察信息的有用程度。示威者要么快速学习了任务,要么根本不学习(随机选择)。为了详细研究调制效果,该任务是在可获得的可观察信息的三个条件下执行的。没有可观察的信息,仅观察选择,并且观察选择及其后果。如预测的那样,我们的结果表明,无论演示者是熟练的还是非熟练的,与个人学习相比,可观察的信息都可以提高性能。观察结果改善了两组的表现,而观察选择仅改善了观察熟练的示威者的表现。强化学习模型表明,演示者的技能通过增加观察者的模仿程度随着时间的推移而改变了演示者选择的观察学习,但没有改变其后果。我们的结果表明,人类可以根据可观察信息的适应性来调节观察性学习。

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