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CHEN Weineng, LU Toon, JIANG Yichuan, TANG Yong. Advances and Trends in Crowd Intelligence Evolutionary and Collaborative Computation[J]. Journal of South China Normal University (Natural Science Edition), 2023, 55(1): 1-18. DOI: 10.6054/j.jscnun.2023001
Citation: CHEN Weineng, LU Toon, JIANG Yichuan, TANG Yong. Advances and Trends in Crowd Intelligence Evolutionary and Collaborative Computation[J]. Journal of South China Normal University (Natural Science Edition), 2023, 55(1): 1-18. DOI: 10.6054/j.jscnun.2023001
shu

Advances and Trends in Crowd Intelligence Evolutionary and Collaborative Computation

  • 1.

    School of Computer Science & Engineering, South China University of Technology, Guangzhou 510641, China

  • 2.

    School of Computer Science, Fudan University, Shanghai 200433, China

  • 4.

    School of Computer Science and Engineering South, East University, Nanjing 211189, China

  • 4.

    School of Computer Science, South China Normal University, Guangzhou 510631, China

More Information
  • Received Date: December 09, 2022
  • Available Online: April 11, 2023
    Graphical Abstract
    • Abstract
  • Crowd intelligence is an intelligent method for solving large-scale complex problems by aggregating group intelligence. Its idea is originated from the simulation of the intelligent behaviors of social biological swarms in nature. Through the division of labor, cooperation, coordination, and co-evolution, swarm creatures can emerge integrated intelligent behaviors. Swarms can complete complex tasks with a high degree of self-organization, self-ada-ptation and self-learning ability. Inspired by this, researchers use mathematics and computing tools to simulate the behavior of swarm intelligence, and develop a series of mechanisms and models based on the emergence and evolution of swarm intelligence. In recent years, with the development of the Internet, the collaborative and evolutionary phenomenon of human crowd intelligence based on the Internet of Things has further broadened the scope of crowd intelligence, presenting a broad application prospect, which also poses new challenges to the theoretical models and applications of group intelligence evolution. In 2017, "New Generation Artificial Intelligence Development Plan" clearly listed crowd intelligence as one of the important artificial intelligence theories and techniques to be deve-loped. In this report, the development of crowd intelligence has been studied from different perspectives: from biological swarms to multi-agent systems, and further to human crowds. The main research issues in crowd intelligence and evolutionary computing will be discussed in four aspects: theories and models of crowd intelligence, organization of crowds, crowd intelligence for collaborative decision-making, and the applications of crowd intelligence and evolutionary computing. The main research issues of crowd intelligence and evolutionary computation is summarized in this report. The reviews have also been made for the latest studies in China and abroad. Finally, some discussion has also been made for future trends and potential scientific issues of this research field.
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    • References (144)
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