Abstract

The shift to cognitive smart cities involves integrating advanced Artificial Intelligence (AI) and data frameworks to create intelligent, predictive urban environments. Key aspects include cognitive digital twins for dynamic modeling, AI applications in transportation and resource management, and robust solutions for data privacy and security like blockchain and federated learning. Edge AI ensures real-time responsiveness, while a human-centered approach enhances livability. AI-driven predictive analytics boost urban resilience against unexpected events, and reinforcement learning enables autonomous, adaptive urban management. This comprehensive integration paves the way for smarter, more efficient, and citizen-responsive cities.