Abstract: The great use of the internet in cyberspace thoroughly changed the information environment for the development of artificial intelligence. Artificial intelligence (AI) 2.0 is a new stage of AI research. Internet crowd intelligence technologies are advanced. One of the most significant features of research in the AI 2.0 era is crowd-based intelligence and autonomous-intelligent systems. In the coming decades, it will attract and achieve remarkable progress in both the industrial and research communities. It will even advance our society as well. Specifically, crowd intelligence provides a problem-solving prototype by collecting the intelligence of hordes to focus on challenges. Due to the accelerated evolution of the sharing economy, crowd intelligence has not only become a new approach to resolving scientific challenges but has also been amalgamated into all variants of application scenarios in day-to-day routines, to cite an example, online-to-offline (O2O) applications, real-time traffic monitoring, and logistics management. In this research paper, we look at the existence of crowd intelligence. First and foremost, we describe the concept of crowd intelligence and its relationship to existing concepts, e.g., crowdsourcing and human computation. followed by presenting the four categories of representative crowd intelligence platforms. To recapitulate, three core research problems and the state-of-the-art techniques of crowd intelligence are analysed. Ultimately, we consider the promising future research directions of crowd intelligence.

Keywords: Artificial intelligence; Crowd intelligence; Crowdsourcing; Human Computation;


PDF | DOI: 10.17148/IJARCCE.2022.11315

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