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Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence
Guo-Yin Wang1; Dong-Dong Cheng1,2; De-You Xia1; Hai-Huan Jiang1
Source PublicationMachine Intelligence Research
ISSN2731-538X
2023
Volume20Issue:1Pages:121-144
AbstractSwarm intelligence has become a hot research field of artificial intelligence. Considering the importance of swarm intelligence for the future development of artificial intelligence, we discuss and analyze swarm intelligence from a broader and deeper perspective. In a broader sense, we are talking about not only bio-inspired swarm intelligence, but also human-machine hybrid swarm intelligence. In a deeper sense, we discuss the research using a three-layer hierarchy: in the first layer, we divide the research of swarm intelligence into bio-inspired swarm intelligence and human-machine hybrid swarm intelligence; in the second layer, the bio-inspired swarm intelligence is divided into single-population swarm intelligence and multi-population swarm intelligence; and in the third layer, we review single-population, multi-population and human-machine hybrid models from different perspectives. Single-population swarm intelligence is inspired by biological intelligence. To further solve complex optimization problems, researchers have made preliminary explorations in multi-population swarm intelligence. However, it is difficult for bio-inspired swarm intelligence to realize dynamic cognitive intelligent behavior that meets the needs of human cognition. Researchers have introduced human intelligence into computing systems and proposed human-machine hybrid swarm intelligence. In addition to single-population swarm intelligence, we thoroughly review multi-population and human-machine hybrid swarm intelligence in this paper. We also discuss the applications of swarm intelligence in optimization, big data analysis, unmanned systems and other fields. Finally, we discuss future research directions and key issues to be studied in swarm intelligence.
KeywordSwarm intelligence single-population multi-population human-machine hybrid multi-granularity
DOI10.1007/s11633-022-1367-7
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55970
Collection学术期刊_Machine Intelligence Research
Affiliation1.Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.College of Big Data and Intelligent Engineering, Yangtze Normal University, Chongqing 408100, China
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Guo-Yin Wang,Dong-Dong Cheng,De-You Xia,et al. Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence[J]. Machine Intelligence Research,2023,20(1):121-144.
APA Guo-Yin Wang,Dong-Dong Cheng,De-You Xia,&Hai-Huan Jiang.(2023).Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence.Machine Intelligence Research,20(1),121-144.
MLA Guo-Yin Wang,et al."Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence".Machine Intelligence Research 20.1(2023):121-144.
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