Journal Of Mathematical Psychology

杂志介绍

Journal Of Mathematical Psychology杂志介绍

《Journal Of Mathematical Psychology》是一本以English为主的未开放获取国际优秀期刊，中文名称数学心理学杂志，本刊主要出版、报道心理学-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE、SSCI收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为2.2，最新CiteScore 指数为3.7。

本刊近期中国学者发表的论文主要有：

• Reconciling Savage’s and Luce’s modeling of uncertainty: The best of both worlds

  Author: Junyi Chai, Chen Li, Peter P. Wakker, Tong V. Wang, Jingni Yang

英文介绍

Journal Of Mathematical Psychology杂志英文介绍

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