Understanding and Measuring Collective
Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach
Abstract
We develop the idea of collective intelligence by
analysing a range of factors hindering the effectiveness
of interactive cognitive agents. We give insights into
how to explore the potential of collectives across different cognitive systems (human, animal and machine)
and research areas. The endeavour is to bridge the
different research disciplines in which collective intelligence might occur and apply the studies of intelligence
in AI to other fields, thereby cross-fertilising diverse
areas of study ranging from business and management
to social sciences and fundamental biology