Collective Intelligence

Collective intelligence studies how groups of diverse agents—human or artificial—can achieve superior outcomes compared to individual members, focusing on emergent behavior and enhanced problem-solving. Current research emphasizes leveraging large language models and multi-agent systems, often employing swarm algorithms, graph convolutional networks, and federated learning to facilitate collaboration and knowledge sharing among agents. This field is significant for advancing AI capabilities, improving decision-making in complex systems (e.g., public policy, network security), and offering new approaches to problem-solving across various domains.