用数学图示框架解析心理动态，打通心理学与人工智能安全的桥梁
Approximating the Mathematical Structure of Psychodynamics
- 以过程理论的图示框架形式化人类心理动力学
- 揭示心理机制与治疗、神经技术、AI对齐等领域的深层联系
- 为跨学科研究提供可计算、可解释的数学语言
人类认知的复杂性使得心理学比其他生物医学领域更依赖理论和概念模型。为实现对心理与精神医学及人工智能安全中认知现象的精确量化研究，亟需一种既数学严谨又便于多领域专家理解的数学表述。本文通过过程理论的图示框架形式化人类心理动力学，描述其关键性质，并阐明图示表示与心理治疗、神经技术、人工智能对齐、自主谈判中的个体表征、类人人工智能系统开发及其他人工智能安全议题中核心认知过程之间的关联。
原文摘要 · Abstract (English)
The complexity of human cognition has meant that psychology makes more use of theory and conceptual models than perhaps any other biomedical field. To enable precise quantitative study of the full breadth of phenomena in psychological and psychiatric medicine as well as cognitive aspects of AI safety, there is a need for a mathematical formulation which is both mathematically precise and equally accessible to experts from numerous fields. In this paper we formalize human psychodynamics via the diagrammatic framework of process theory, describe its key properties, and explain the links between a diagrammatic representation and central concepts in analysis of cognitive processes in contexts such as psychotherapy, neurotechnology, AI alignment, AI agent representation of individuals in autonomous negotiations, developing human-like AI systems, and other aspects of AI safety.
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