Mathematical self-determination theory I: Real representation

IF 2.2 4区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Ali Ünlü
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引用次数: 1

Abstract

In two parts, MSDT1 this paper and MSDT2 the follow-up paper, we treat the topic of mathematical self-determination theory. MSDT1 considers the real representation, MSDT2 the affine space representation. The aim of the two papers is to lay the mathematical foundations of self-determination motivation theory. Self-determination theory was proposed by Deci and Ryan, which is a popular theory of motivation. The fundamental concepts are extrinsic and intrinsic motivation, amotivation, their type of regulation, locus of causality, and especially, self-determination. First, we give a geometric description of its concepts for the regulated case (no amotivation), as the unit 1-simplex. Thereby, we derive a symmetric definition of self-determination. Second, we extend the geometric description to the regulated and unregulated case, based on a more general ternary model, in internal motivation, external motivation, and amotivation. We define gradations of amotivation (and motivation), as 1-simplexes parallel to the unit 1-simplex. The ternary representation implies the types of strong, weak, and general self-determination, as partial orders on the motivation space. Third, we study the order, lattice, and algebraic properties of self-determination. In a version of polar coordinates, strong self-determination turns out to be a complete lattice on angular line segments, weak self-determination is a complete lattice on radial line segments, and general self-determination entails a complete lattice on the entire motivation space. In addition, the modified polar coordinates are employed to obtain necessary and sufficient conditions for strong, weak, and general self-determination. We propose measures for the strength of an ordinal dependency in self-determination, which are partial metrics on the motivation space.

数学自我决定理论1:实表示
本文分为两部分,MSDT1和后续论文MSDT2,讨论数学自我决定理论的主题。MSDT1考虑实数表示,MSDT2考虑仿射空间表示。这两篇论文的目的是为自我决定动机理论奠定数学基础。自决理论是由Deci和Ryan提出的,是一种流行的动机理论。基本概念是外在动机和内在动机,动机,它们的调节类型,因果关系,尤其是自我决定。首先,我们给出了它的概念的几何描述,对于调节情况(无动机),作为单位1-单纯形。因此,我们推导出自决的对称定义。其次,我们基于一个更一般的三元模型,在内部动机、外部动机和动机方面,将几何描述扩展到规范和不规范的情况。我们将动机(和动机)的层次定义为平行于单元1-单纯形的1-单纯形。三元表示暗示了强、弱和一般自决的类型,作为动机空间上的偏序。第三,我们研究了自决定的序、格和代数性质。在极坐标的一个版本中,强自决权是角线段上的完全格,弱自决权是径向线段上的完全格,一般自决权是整个动机空间上的完全格。此外,利用修正极坐标得到了强、弱和一般自决的充分必要条件。我们提出了自决中顺序依赖强度的度量,这些度量是动机空间上的部分度量。
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
Journal of Mathematical Psychology
Journal of Mathematical Psychology 医学-数学跨学科应用
CiteScore
3.70
自引率
11.10%
发文量
37
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
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