Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2016.07.003 |
Locally noisy autonomous agents improve global human coordination in network experiments | |
Shirado, Hirokazu1,2; Christakis, Nicholas A.1,2,3,4 | |
2017-05-18 | |
发表期刊 | NATURE
![]() |
ISSN | 0028-0836 |
EISSN | 1476-4687 |
出版年 | 2017 |
卷号 | 545期号:7654页码:370-+ |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Coordination in groups faces a sub-optimization problem(1-6) and theory suggests that some randomness may help to achieve global optima(7-9). Here we performed experiments involving a networked colour coordination game(10) in which groups of humans interacted with autonomous software agents (known as bots). Subjects (n = 4,000) were embedded in networks (n = 230) of 20 nodes, to which we sometimes added 3 bots. The bots were programmed with varying levels of behavioural randomness and different geodesic locations. We show that bots acting with small levels of random noise and placed in central locations meaningfully improve the collective performance of human groups, accelerating the median solution time by 55.6%. This is especially the case when the coordination problem is hard. Behavioural randomness worked not only by making the task of humans to whom the bots were connected easier, but also by affecting the gameplay of the humans among themselves and hence creating further cascades of benefit in global coordination in these heterogeneous systems. |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000401466500067 |
WOS关键词 | COMPLEX NETWORKS ; DECISION-MAKING ; ANIMAL GROUPS ; GAMES ; COOPERATION ; LEADERSHIP ; INDIVIDUALS ; AVOIDANCE ; CONSENSUS ; MUTATION |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/24915 |
专题 | 资源环境科学 |
作者单位 | 1.Yale Univ, Yale Inst Network Sci, New Haven, CT 06520 USA; 2.Yale Univ, Dept Sociol, New Haven, CT 06520 USA; 3.Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT 06520 USA; 4.Yale Univ, Dept Biomed Engn, New Haven, CT 06520 USA |
推荐引用方式 GB/T 7714 | Shirado, Hirokazu,Christakis, Nicholas A.. Locally noisy autonomous agents improve global human coordination in network experiments[J]. NATURE,2017,545(7654):370-+. |
APA | Shirado, Hirokazu,&Christakis, Nicholas A..(2017).Locally noisy autonomous agents improve global human coordination in network experiments.NATURE,545(7654),370-+. |
MLA | Shirado, Hirokazu,et al."Locally noisy autonomous agents improve global human coordination in network experiments".NATURE 545.7654(2017):370-+. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论