Abstract
The transformation of family systems is influenced by various complex factors. Compared to economic, cultural, social and other influencing factors, AI(Artificial Intelligence) has a special impact on the transformation of family systems. Based on Complex Adaptive System (CAS) theory, this paper analyzes the mechanisms of AI impacting on the transformation of family systems. CAS theory emphasizes the complexity, adaptability, and nonlinear evolution of phenomena or entities. Within the framework of CAS theory, the transformation of family systems is also regarded as a complex adaptive system, characterized by adaptability and nonlinear dynamics. Through real-time data collection, precise data analysis, and personalized feedback generation, AI enables family systems to develop effective adaptation and feedback mechanisms in response to environmental changes and internal demand adjustments. These adaptation and feedback mechanisms drive the optimization of family decision-making patterns and the restructuring of key elements within the family systems, ultimately influencing transformation of family systems.
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Acknowledgements
This research was supported by Research on the Innovation of Teaching Paradigm and Practical Exploration of Ideological and Political Theory Courses in Institutes Based on Large Language Model (No. 2023GXSZ169) and Research on the Improvement Strategy of Teaching Effects of Ideological and Political Theory Courses in Institutes Based on Large Language Model (No. Szjy23012).
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Yu, J., Ma, H., Li, Y. (2025). The Mechanisms of Artificial Intelligence Impacting on the Transformation of Family Systems: A Perspective of Complex Adaptive Systems Theory. In: Zeng, J., Zhang, LJ. (eds) Edge Computing – EDGE 2024. EDGE 2024. Lecture Notes in Computer Science, vol 15424. Springer, Cham. https://doi.org/10.1007/978-3-031-77069-2_5
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