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Don't think, just feel the music: individuals with strong Pavlovian-to-instrumental transfer effects rely less on model-based reinforcement learning

机译:不要以为只是音乐就可以了:具有强大的从巴甫洛夫到乐器的转换效果的人较少依赖基于模型的强化学习

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摘要

Behavioral choice can be characterized along two axes. One axis distinguishes reflexive, model-free systems that slowly accumulate values through experience and a model-based system that uses knowledge to reason prospectively. The second axis distinguishes Pavlovian valuation of stimuli from instrumental valuation of actions or stimulus-action pairs. This results in four values and many possible interactions between them, with important consequences for accounts of individual variation. We here explored whether individual variation along one axis was related to individual variation along the other. Specifically, we asked whether individuals' balance between model-based and model-free learning was related to their tendency to show Pavlovian interferences with instrumental decisions. In two independent samples with a total of 243 participants, Pavlovian-instrumental transfer effects were negatively correlated with the strength of model-based reasoning in a two-step task. This suggests a potential common underlying substrate predisposing individuals to both have strong Pavlovian interference and be less model-based and provides a framework within which to interpret the observation of both effects in addiction.
机译:行为选择可以沿两个轴来表征。一个轴可以区分反身的,无模型的系统,该系统通过经验缓慢地积累价值,而一个基于模型的系统则使用知识进行前瞻性推理。第二个轴将巴甫洛夫对刺激的评估与对行为或对刺激的工具评估进行区分。这样就产生了四个值以及它们之间的许多可能的交互作用,这对个体差异的帐户产生了重要影响。我们在这里探讨了沿一个轴的个体变化是否与沿另一轴的个体变化有关。具体而言,我们询问了个人在基于模型的学习与无模型的学习之间的平衡是否与他们表现出巴甫洛夫对工具决策的干扰的趋势有关。在共有243名参与者的两个独立样本中,在两步任务中,巴甫洛夫式工具转移效果与基于模型的推理强度呈负相关。这表明潜在的潜在潜在共同底物使个体都具有强烈的巴甫洛夫式干扰并且基于模型的方式较少,并提供了一个框架来解释对成瘾的两种作用的观察。

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