Clustering knowledge and dispersing abilities enhances collective problem solving in a network
Using agent-based models of a problem-solving task in a network, the authors show that clustering people of similar knowledge maintains solution diversity and increases long run system collective performance. Clustering those with similar abilities, however, lowers solution diversity and performance...
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Auteurs principaux: | , |
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Format: | article |
Langue: | EN |
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Nature Portfolio
2019
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Accès en ligne: | https://doaj.org/article/5747e102f6a148c4b2c93b333a2932fd |
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