Introduction: The transitions towards sustainability in rural areas are of paramount importance, requiring a balanced approach that integrates the natural and built environments. This topic is critically relevant in the context of major global challenges we face, including climate change, biodiversity loss, resource depletion, mental health crises, barriers to human development, and mass migration. As illustrated by the Palmenti Urban Park in Pietragalla, Italy, these cave architecture structures exemplify how built environments can harmonize with and take advantage of natural environments. Our research project aims to develop generative architectural software that combines vernacular techniques with cutting-edge AI and environmental assessment tools to foster human-biome interaction. Theoretical Framework: Adopting a systemic approach provides a holistic, interdisciplinary framework for comprehensively understanding and addressing the complex issues impacting rural areas. The central concept is integrating natural and built environments in a synergistic way that enables sustainable development while preserving ecological integrity. Hobbiton in New Zealand's Waikato region visually illustrates how constructed buildings can be seamlessly embedded into natural surroundings. This systemic view demands looking at rural areas through multiple lenses - environmental, socio-cultural, economic - and developing integrated solutions. Our interdisciplinary research combines architecture, urbanism, biodigital design, AI, XR, environmental/developmental psychology to create this holistic framework. Challenges and Opportunities: Rural communities face immense challenges like resource constraints, demographic shifts away from rural areas, and economic vulnerabilities. A critical issue is the growing disconnect between humans and natural environments, which our project aims to address. There are opportunities in sustainable rural development by applying AI to architectural BIM to intelligently adapt morphologies, balancing built and natural environments. As the AI-optimized marketplace design shows, technology can help shape built environments that minimize material use and environmental impact. Case Studies: Prototypes like the wooden hyperbolic roof structure made from recycled wood segments demonstrate integrating natural materials into modern built forms. Our research will develop housing-scale prototypes using local materials like earth and incorporating living roofs, driven by the generative AI software. Generative design models like the Cyberpunk Slum simulation show how buildings could organically emerge over time, parasitically attached to the natural landscape. Our urban simulations will validate adaptive, dynamic built environments coexisting in harmony with the biome. The bio-inspired architectural vision challenges boundaries by fusing vernacular techniques with emerging technologies like adaptive morphological programming. Implementation strategies focus on using local materials, passive climate control, autonomous robotics for construction, and achieving net-zero energy use. Future Directions: Emerging technologies like 3D printing with recycled materials and autonomous robotic construction open new possibilities for sustainable rural development. Our software will facilitate human-machine collaboration using AI-enhanced IoT for optimizing construction and human-environment interaction. It will enable biomimetic strategies, lifecycle assessments and be compatible with IFC for industry interoperability as architectural AI rapidly advances. Innovative practices that reinterpret vernacular architecture through a contemporary lens, such as energy-efficient underground housing, are explored. The generated data can provide critical insights into improving architectural practices regarding the human-biome relationship.

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This publication is associated with the following references in the media record(s):

• Noite Europeia dos Investigadores - Direto (RTP)