Amplifying the Social Intelligence of Teams Through Human Swarming
Amplifying the Social Intelligence of Teams Through Human Swarming
复制标题
通过人群聚集增强团队的社交智能
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Erick Harris
中科院分区：
文献类型：
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作者：
Louis B. Rosenberg;G. Willcox;David A. Askay;L. Metcalf;Erick Harris
人工群智能（Artificial Swarm Intelligence，简称ASI）是一种通过将网络参与者连接到以自然群为模型并由AI算法调节的实时系统中来放大人类群体集体智慧的方法。ASI已被证明可以在广泛的任务中增强性能，从预测金融市场到优先考虑相互冲突的目标。本研究探讨了ASI系统放大小团队社会智力的能力。一组61个小组，每个小组3到6名成员，进行了一项标准的社会敏感性测试-“阅读眼睛里的思想”或RME。受试者既作为个体又作为ASI系统（即“群体”）参加测试。在RME测试中，平均个体得分为35分中的24分（32%错误），而平均ASI群得分为35分中的30分（15%错误）。统计分析发现，作为ASI群体工作的群体比单独工作的个体或通过多数票一起工作的群体具有显著更高的社会敏感性（p<0.001）。这表明，当群体作为实时ASI群体做出决策时，他们比单独工作或传统的群体投票更好地利用了他们的社会智慧。
Artificial Swarm Intelligence (ASI) is a method for amplifying the collective intelligence of human groups by connecting networked participants into real-time systems modeled after natural swarms and moderated by AI algorithms. ASI has been shown to amplify performance in a wide range of tasks, from forecasting financial markets to prioritizing conflicting objectives. This study explores the ability of ASI systems to amplify the social intelligence of small teams. A set of 61 teams, each of 3 to 6 members, was administered a standard social sensitivity test -“Reading the Mind in the Eyes” or RME. Subjects took the test both as individuals and as ASI systems (i.e. “swarms”). The average individual scored 24 of 35 correct (32% error) on the RME test, while the average ASI swarm scored 30 of 35 correct (15% error). Statistical analysis found that the groups working as ASI swarms had significantly higher social sensitivity than individuals working alone or groups working together by plurality vote (p<O.OOI). This suggests that when groups reach decisions as real-time ASI swarms, they make better use of their social intelligence than when working alone or by traditional group vote.
影响因子：
7.6
作者：
Baron-Cohen, S;Wheelwright, S;Plumb, I
通讯作者：
Plumb, I