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