最佳-最差选择的多维数据集模型的变体

IF 2.2 4区心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Mathematical Psychology Pub Date : 2023-11-20 DOI:10.1016/j.jmp.2023.102820

Keivan Mallahi-Karai , Adele Diederich

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引用次数: 1

摘要

在本文中，我们提出了一个最优最差选择任务的动态模型。提出的模型是对所谓的(Mallahi-Karai和Diederich, 2019,2021)提出和研究的多集立方体模型的修改。该模型假定最佳最差选择(或者更一般地说，排名)任务是在若干情节中连续做出选择的结果。基础模型是一个多维维纳过程，从单元立方体中的一个点发出漂移，其中情节是根据停止时间序列定义的。这个模型也可以以标准的方式扩展到注意力转换框架。

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A variation of the cube model for best–worst choice

In this paper, we propose a dynamical model for the best–worst choice task. The proposed model is a modification of the multi-episode Cube model proposed and studied in so-called (Mallahi-Karai and Diederich, 2019, 2021). This model postulates that best–worst choice (or more generally, ranking) task is the outcome of sequential choices made in a number of episodes. The underlying model is a multivariate Wiener process with drift issued from a point in the unit cube, where episodes are defined in terms of a sequence of stopping times. This model can also be extended to an attention-switching framework in a standard way.

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来源期刊

Journal of Mathematical Psychology 医学-数学跨学科应用

CiteScore

3.70

自引率

11.10%

发文量

审稿时长

20.2 weeks

期刊介绍： The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology. Empirical and theoretical contributions are equally welcome. Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts. A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation. The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology. Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory