Group Cognition

Group cognition studies how groups of individuals, including humans and AI agents, collectively process information and make decisions. Current research focuses on developing computational models and algorithms, such as Bayesian approaches and those leveraging mutual information, to facilitate effective collaboration and information sharing within both small and large-scale groups, even in the presence of conflicting information or Byzantine agents. This field is significant for advancing our understanding of human-AI collaboration and for designing more effective tools for collective intelligence in diverse applications, ranging from large-scale online deliberation to improved teamwork in complex tasks.