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  • 标题:How Approaches to Animal Swarm Intelligence Can Improve the Study of Collective Intelligence in Human Teams
  • 本地全文:下载
  • 作者:Lisa O’Bryan ; Margaret Beier ; Eduardo Salas
  • 期刊名称:Journal of Intelligence
  • 电子版ISSN:2079-3200
  • 出版年度:2020
  • 卷号:8
  • 期号:1
  • 页码:9-26
  • DOI:10.3390/jintelligence8010009
  • 出版社:MDPI Publishing
  • 摘要:Researchers of team behavior have long been interested in the essential components of effective teamwork. Much existing research focuses on examining correlations between team member traits, team processes, and team outcomes, such as collective intelligence or team performance. However, these approaches are insufficient for providing insight into the dynamic, causal mechanisms through which the components of teamwork interact with one another and impact the emergence of team outcomes. Advances in the field of animal behavior have enabled a precise understanding of the behavioral mechanisms that enable groups to perform feats that surpass the capabilities of the individuals that comprise them. In this manuscript, we highlight how studies of animal swarm intelligence can inform research on collective intelligence in human teams. By improving the ability to obtain precise, time-varying measurements of team behaviors and outcomes and building upon approaches used in studies of swarm intelligence to analyze and model individual and group-level behaviors, researchers can gain insight into the mechanisms underlying the emergence of collective intelligence. Such understanding could inspire targeted interventions to improve team effectiveness and support the development of a comparative framework of group-level intelligence in animal and human groups.
  • 关键词:collective intelligence; swarm intelligence; teams; measurement; modeling collective intelligence ; swarm intelligence ; teams ; measurement ; modeling
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