标题： 递归内倾、迭代外向和传递双相 显示英文标题

标题： Recursive introversion, iterative extroversion and transitive ambiversion

摘要： 本研究提出了一种通过数学建模内向、外向和两维性过程来描述人格动态的方法。 内向被解释为一个递归过程，以深刻的自我意识和内在反思为特征；外向被视为累积和处理外部刺激的迭代过程；而两维性则被认为是这两种对立过程的过渡性，整合了它们的相互作用。 所开发的模型基于复杂系统理论、非线性动力学和协同论的原则，使人格能够被感知为一个适应性和多层的系统。 研究结果包括描述内部和外部因素相互作用的分析方程。还探讨了调节人格动态的参数，如敏感性系数、刺激权重因子和协同参数。 该模型的实践意义在于其在心理治疗、教育、人事管理以及其他需要考虑人格特质及其动态的领域中的应用。 该模型为诊断、预测和纠正人格变化提供了新的机会，增强了与个体工作的方法。 研究结果为定量人格分析开辟了一些前景，提供了对其结构和动态的理论理解。 它们也为心理学、认知科学和社会系统的进一步跨学科研究奠定了基础。 具体而言，在程序算法背景下考虑的形式化允许为具有差异化心理原型（内向机器人、外向机器人和两维性机器人）的人工智能和机器人创建功能程序。 显示英文摘要

摘要： This study proposes an approach to describing personality dynamics through mathematical modelling of introversion, extroversion, and ambiversion processes. Introversion is interpreted as a recursive process characterized by deep self-awareness and inner reflection; extroversion is presented as an iterative process of accumulating and processing external stimuli; and ambiversion is considered transitivity, integrating the interaction of these two opposing processes. The developed model is based on principles of complex systems theory, nonlinear dynamics, and synergetics, enabling the perception of personality as an adaptive and multilayered system. The results include analytical equations describing the interaction of internal and external factors. Parameters regulating personality dynamics, such as sensitivity coefficients, weighting factors of stimuli, and synergy parameters, are also explored. The practical significance of the proposed model lies in its application in psychotherapy, education, personnel management, and other areas where it is necessary to consider personality traits and their dynamics. The model provides new opportunities for diagnosing, forecasting, and correcting personality changes, enhancing methods of working with individuals. The findings open some prospects for quantitative personality analysis, providing a theoretical understanding of its structure and dynamics. They also create a foundation for further interdisciplinary research in psychology, the cognitive sciences, and social systems. Specifically, the formalization considered in the context of program algorithms allows for the creation of functional procedures for AI and robots with differentiated psychological archetypes (introvert robots, extrovert robots, and ambivert robots).