Digital Twins and Artificial Collective Intelligence: Synergies for the Future

Abstract

Digital twins (DTs) and artificial collective intelligence (ACI) are transformative technologies that, when combined, hold significant potential for managing complex systems across diverse domains, such as smart cities, health care, and manufacturing. DTs encompass both physical objects and their virtual counterparts, enabling real-time monitoring, control, and predictive modeling, while ACI enhances decision-making by leveraging the collective knowledge from multiple models. This article explores the synergies between DT and ACI, focusing on their integration into federated DTs (FDTs), which are networks of autonomous, collaborative DTs. By leveraging collaboration, FDTs optimize processes, improve scalability, and adapt to dynamic environments. We analyze the properties of DTs and ACI and identify opportunities for innovation and challenges in areas, such as scalability, adaptability, and fault tolerance. This integration paves the way for smarter systems capable of addressing the complexities of modern technological and societal challenges.