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Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs

机译:激励措施在几种精神病构建体上促使基于模型的控制跨越一系列严重程度

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BACKGROUND: Human decision making exhibits a mixture of model-based and model-free control. Recent evidence indicates that arbitration between these two modes of control ("metacontrol") is based on their relative costs and benefits. While model-based control may increase accuracy, it requires greater computational resources, so people invoke model-based control only when potential rewards exceed those of model-free control. We used a sequential decision task, while concurrently manipulating performance incentives, to ask if symptoms and traits of psychopathology decrease or increase model-based control in response to incentives.
机译:背景:人类决策表现出基于模型和无模型控制的混合物。 最近的证据表明这两种控制模式(“Metacontrol”)之间的仲裁基于其相对成本和益处。 虽然基于模型的控制可能会提高精度,但它需要更大的计算资源,因此人们才能在潜在奖励超过模型控制的控制时才能调用基于模型的控制。 我们使用了一项顺序决策任务,同时处理性能激励,询问心理病理学的症状和特征是否降低或增加基于模型的控制,以响应激励措施。

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