Multi-agent systems and Knowledge graphs

This team focuses on researching the use of multi-agent systems and knowledge graphs in the context of smart city services. We address challenges such as connecting contexts across different urban service domains, modeling knowledge about the environment and city actors, and exploring how agent-based approaches can contribute to adaptive, collaborative, and sustainable management of urban systems. We are particularly interested in the coordination of heterogeneous agents, the representation and sharing of knowledge through semantic technologies and graph structures, and the application of these approaches to support decision-making, predictive modeling, and autonomous control of city processes. Our goal is to develop intelligent, interconnected, and explainable systems capable of effectively responding to the dynamics of urban environments.