PARALLELIZED SUB-FACTOR AGGREGATION IN REAL-TIME SWARM-BASED COLLECTIVE INTELLIGENCE SYSTEMS

摘要

Systems and methods are for enabling a group of individuals, each using an individual computing device, to collaboratively answer questions in real time as a unified swarm-based intelligence. The collaboration system comprises a plurality of computing devices, each of the devices being used by an individual user, each of the computing devices enabling its user to contribute to the emerging real-time group-wise intent. A collaboration server is disclosed that moderates the closed-loop system, enabling convergence upon a unified group intent. In some embodiments the group is divided into sub-groups, wherein each sub-group responds to a different sub-factor of a main prompt.