Evidence accumulation is not essential for generating intertemporal preference: A comparison of dynamic cognitive models of matching tasks

IF 3 2区 心理学 Q1 PSYCHOLOGY
Xuhui Zhang, Zhuoyi Fan, Yue Shen, Junyi Dai
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Abstract

Intertemporal preference has been investigated mainly with a choice paradigm. However, a matching paradigm might be more informative for a proper inference about intertemporal preference and a deep understanding of the underlying cognitive mechanisms. This research involved two empirical studies using the matching paradigm and compared various corresponding dynamic models. These models were developed under either the framework of decision field theory, an exemplar theory assuming evidence accumulation, or a non-evidence-accumulation framework built upon the well-established notions of random utility and discrimination threshold (i.e., the RUDT framework). Most of these models were alternative-based whereas the others were attribute-based ones. Participants in Study 1 were required to fill in the amount of an immediate stimulus to make it as attractive as a delayed stimulus, whereas those in Study 2 needed to accomplish a more general matching task in which either the payoff amount or delay length of one stimulus was missing. Consistent behavioral regularities regarding both matching values and response times were revealed in these studies. The results of model comparison favored in general the RUDT framework as well as an attribute-based perspective on intertemporal preference. In addition, the predicted matching values and response times of the best RUDT model were also highly correlated with the observed data and replicated most observed behavioral regularities. Together, this research and previous modeling work on intertemporal choice suggest that evidence accumulation is not essential for generating intertemporal preference. Future research should examine the validity of the new framework in other preferential decisions for a more stringent test of the framework.

证据积累对于产生跨期偏好并不重要:匹配任务的动态认知模型的比较。
时间间偏好主要是用选择范式来研究的。然而,匹配范式可能更有助于对跨期偏好进行适当的推断,并深入了解潜在的认知机制。本研究使用匹配范式进行了两项实证研究,并比较了各种相应的动态模型。这些模型要么是在决策场理论的框架下开发的,要么是假设证据积累的范例理论,要么是建立在随机效用和判别阈值的既定概念基础上的非证据积累框架(即RUDT框架)。这些模型大多是基于替代的,而其他模型则是基于属性的。研究1中的参与者需要填写即时刺激的数量,使其与延迟刺激一样具有吸引力,而研究2中的参与者需要完成一项更一般的匹配任务,其中一个刺激的回报量或延迟长度缺失。这些研究揭示了关于匹配值和响应时间的一致行为规律。模型比较的结果总体上支持RUDT框架以及基于属性的跨期偏好视角。此外,最佳RUDT模型的预测匹配值和响应时间也与观测数据高度相关,并复制了大多数观测到的行为规律。总之,这项研究和之前关于跨期选择的建模工作表明,证据积累对产生跨期偏好并不重要。未来的研究应该在其他优惠决策中检验新框架的有效性,以便对该框架进行更严格的测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cognitive Psychology
Cognitive Psychology 医学-心理学
CiteScore
5.40
自引率
3.80%
发文量
29
审稿时长
50 days
期刊介绍: Cognitive Psychology is concerned with advances in the study of attention, memory, language processing, perception, problem solving, and thinking. Cognitive Psychology specializes in extensive articles that have a major impact on cognitive theory and provide new theoretical advances. Research Areas include: • Artificial intelligence • Developmental psychology • Linguistics • Neurophysiology • Social psychology.
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