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Intertemporal Choice as Discounted Value Accumulation

机译:跨期选择作为折价积累

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摘要

Two separate cognitive processes are involved in choosing between rewards available at different points in time. The first is temporal discounting, which consists of combining information about the size and delay of prospective rewards to represent subjective values. The second involves a comparison of available rewards to enable an eventual choice on the basis of these subjective values. While several mathematical models of temporal discounting have been developed, the reward selection process has been largely unexplored. To address this limitation, we evaluated the applicability of the Linear Ballistic Accumulator (LBA) model as a theory of the selection process in intertemporal choice. The LBA model formalizes the selection process as a sequential sampling algorithm in which information about different choice options is integrated until a decision criterion is reached. We compared several versions of the LBA model to demonstrate that choice outcomes and response times in intertemporal choice are well captured by the LBA process. The relationship between choice outcomes and response times that derives from the LBA model cannot be explained by temporal discounting alone. Moreover, the drift rates that drive evidence accumulation in the best-fitting LBA model are related to independently estimated subjective values derived from various temporal discounting models. These findings provide a quantitative framework for predicting dynamics of choice-related activity during the reward selection process in intertemporal choice and link intertemporal choice to other classes of decisions in which the LBA model has been applied.
机译:在不同时间点可用的奖励之间进行选择时,涉及两个单独的认知过程。第一个是时间折扣,它包括组合有关预期奖励的规模和延迟的信息以代表主观价值。第二个涉及对可用奖励的比较,以基于这些主观价值最终做出选择。尽管已经开发了几种时间折现的数学模型,但奖励选择过程尚未得到充分探索。为了解决此限制,我们评估了线性弹道累加器(LBA)模型作为跨期选择中选择过程的理论的适用性。 LBA模型将选择过程形式化为顺序采样算法,在该算法中,将有关不同选择选项的信息进行整合,直到达到决策标准为止。我们比较了LBA模型的多个版本,以证明LBA流程可以很好地把握跨期选择的选择结果和响应时间。从LBA模型得出的选择结果与响应时间之间的关系不能仅通过时间折现来解释。此外,在最适合的LBA模型中驱动证据积累的漂移率与从各种时间折现模型得出的独立估计的主观值有关。这些发现提供了一个定量框架,用于预测跨时期选择的奖励选择过程中与选择有关的活动的动态,并将跨时期选择与已应用LBA模型的其他决策类别联系起来。

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