Under what conditions do groups outperform their individual members? This question is of paramount importance and has spurred many studies in management and organizational science, psychology, sociology, complex systems, and computer science. Here, we investigate the conditions under which the interaction network within a group can adapt to leverage the dispersion of individual abilities and promote collective intelligence. We find that network plasticity and feedback provide fundamental mechanisms for both improving individual judgments and inducing the collective “wisdom of the network,” allowing groups to outperform their best individuals working in isolation.
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