The expected outcomes of this research include: 1) Proposing a self-healing network architecture inspired by biological forms, providing innovative solutions for AI systems in complex environments; 2) Validating the advantages of this architecture in enhancing system robustness and adaptability, offering a basis for practical applications; 3) Identifying the limitations of the architecture and proposing optimization directions, promoting further development in related fields. These outcomes will help improve the self-healing capabilities of AI systems, advance their application in complex environments, and provide experimental data and application scenarios for the further optimization of OpenAI models.
Innovation
Exploring self-healing networks through theory and experimental validation.