Rafael Kaufmann

Mathematician and researcher who developed an active inference model of collective intelligence while working at Google; focuses on multi-scale active inference, organizational effectiveness, and applications to economic and safety problems.

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Aug 7, 2024 • 30min

An Active Inference Model of Collective Intelligence by R. Kaufman, P. Gupta, and J. Taylor

Join Rafael Kaufmann, a mathematician at Google focusing on collective intelligence, and Pranav Gupta, a business researcher studying human-machine teams, as they explore fascinating concepts in active inference. They discuss how agent interactions influence collective behavior and the role of goal alignment in team success. Rafael shares insights on modeling dynamics between strong and weak agents, while Pranav highlights the importance of collective memory and attention. They even touch on how motivation can elevate performance in both human and AI collaborations.

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