Knowledge Commons of Institute of Automation，CAS
| Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence | |
| Guo-Yin Wang1 | |
| Source Publication | Machine Intelligence Research
 |
| ISSN | 2731-538X |
| 2023 | |
| Volume | 20Issue:1Pages:121-144 |
| Abstract | Swarm 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. |
| Keyword | Swarm intelligence single-population multi-population human-machine hybrid multi-granularity |
| DOI | 10.1007/s11633-022-1367-7 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/50904 |
| Collection | 学术期刊_Machine Intelligence Research |
| Affiliation | 1.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 |
| Recommended Citation GB/T 7714 | Guo-Yin Wang. 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.(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."Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence".Machine Intelligence Research 20.1(2023):121-144. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| MIR-2022-05-170.pdf（2487KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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