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学会等待和行动的时机。

Learning when to wait and when to act.

机构信息

Kansas State University, Manhattan, KS, USA.

出版信息

Learn Behav. 2022 Jun;50(2):207-221. doi: 10.3758/s13420-021-00482-5. Epub 2021 Sep 20.

Abstract

Choosing how long to wait in order to optimize reward is a complex decision. We embedded these decisions within a video-game environment in which the amount of reward smoothly increased the longer one waited. The availability of external cues varied in order to determine how they affected the decision to wait to achieve the goal of maximizing the reward rate. As a group, people were most optimal when they could directly observe the growth in reward, and this information overshadowed a static color cue that did not require extended observation. These results were considered within the context of improving the choice between acting versus waiting in order to maximize reward rates.

摘要

为了优化奖励而选择等待的时间是一个复杂的决策。我们将这些决策嵌入到一个视频游戏环境中,在这个环境中,等待的时间越长,奖励的数量就会平滑地增加。外部线索的可用性会有所变化,以便确定它们如何影响等待以实现最大化奖励率的目标的决策。作为一个群体,当人们可以直接观察到奖励的增长时,他们的表现最为出色,而这种信息掩盖了一个不需要长时间观察的静态颜色线索。这些结果是在为了最大化奖励率而改善行动与等待之间的选择的背景下考虑的。

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