Intelligent Collectives: Theory, Applications, and Research Challenges

被引:21
作者
Van Du Nguyen [1 ,2 ]
Ngoc Thanh Nguyen [1 ,3 ]
机构
[1] Wroclaw Univ Sci & Technol, Fac Comp Sci & Management, Wroclaw, Poland
[2] Nong Lam Univ, Fac Informat Technol, Ho Chi Minh City, Vietnam
[3] Ton Duc Thang Univ, Fac Informat Technol, Div Knowledge & Syst Engn ICT, Ho Chi Minh City, Vietnam
关键词
Collective intelligence; Delphi method; prediction markets; wisdom of crowds; PREDICTION MARKETS; SOCIAL NETWORKS; KNOWLEDGE; INCONSISTENCY; DELPHI; WISDOM;
D O I
10.1080/01969722.2017.1418254
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, along with the rapid development of information technologies, very often solving a common problem is entrusted to many autonomous units (people, systems). With such an approach, one can tap into the so-called collective intelligence (CI)emerging from the collaboration and competition of many individuals. In this paper, we present recent research on CI related to the effectiveness of using the wisdom of crowds to perform a wide range of problems. For this aim, we first introduce a general framework of CI involving key characteristics of intelligent collectives. Next, we focus on the problem of how diversity and collective cardinality influence collective performance. Then, its applications, which are widely used such as prediction markets and Delphi method, will be presented. Furthermore, some research challenges on the capacity of combining CI with other research fields such as machine learning and social networks are also discussed.
引用
收藏
页码:261 / 279
页数:19
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