Mandala Principle in Artificial Intelligence: A Framework for Social Knowledge Preservation, Management, and Transfer in Learning Systems

Purpose: This study explores the Mandala principle as a philosophical and structural framework for knowledge transformation and transfer in social learning systems. It aims to investigate how ancient Mandala philosophy can inform the design of Artificial Intelligence-based Social Learning Management Systems (SLMS) to preserve, manage, and transfer social knowledge across generations and cultures. Methods: The research involves a conceptual analysis of the Mandala philosophy, rooted in social customs, traditions, and Vedic scriptures, examining its applicability to modern learning ecosystems. It synthesizes the philosophy’s principles with AI-driven social knowledge frameworks, proposing a Mandala-based SLMS model to organize knowledge, facilitate learning, and enhance social connectivity. Findings: The Mandala, beyond being a cultural or religious symbol, serves as a philosophical tool and "Resource Tank" for the transfer of social values, knowledge, consciousness, and behavior. The fundamental Mandala shapes individual thought and worldview from birth, dynamically evolving through experiences, technology, and social inputs in a structured, meaningful space. Utilizing this framework in AI systems fosters holistic knowledge preservation and effective social learning processes. Conclusion: Integrating the Mandala principle with AI-driven social learning platforms creates a novel framework for sustaining and transferring social knowledge and values. This approach provides a culturally grounded, dynamic system adaptable to evolving learning needs and societal contexts, supporting lifelong learning and social cohesion. Originality: This study uniquely bridges ancient Mandala philosophy with contemporary Artificial Intelligence applications in social learning management. It introduces the concept of a Mandala-based Social Learning Management System that emphasizes cultural philosophy and knowledge ecosystems as integral to AI-driven learning technologies, a perspective not extensively explored in existing literature. Type of Paper: Exploratory research.