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VQV Signal
New Framework Explores Collective Intelligence in Human-AI Hybrid Groups
This study addresses the gap in understanding how collective intelligence emerges in hybrid human-AI teams by examining how differences in attention, memory, and reasoning scale from individuals to group dynamics. It highlights the need for a formal network science approach to analyze these interac...
As AI agents become more integrated into human teams, understanding group-level dynamics is crucial for optimizing collaboration and performance. This research provides foundational insights for designing more effective hybrid systems by linking individual cognitive differences to collective outcom...
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