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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Autores principales: Charles J. Gomez, David M. J. Lazer
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/5747e102f6a148c4b2c93b333a2932fd
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