MAS-based Parallel Intelligence Communities
Xin Liu, Shaowen Yu, Qiang Li, Liang Zheng, Xiao Wang, Hongzhan Sun, Fei–Yue Wang · 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI) · 2021
The parallel intelligence era characterized by virtual reality interaction is coming, and the battle for the dominant power of online public opinion battlefield is becoming fiercer. It is urgent to establish an information processing system suitable for the characteristics of the times. In this paper, an artificial intelligence system based on multi-agent system is designed. Artificial intelligence system is composed of agents, agent interaction environment and agent interaction rules. Agents update their states according to behavior rules and the perception to the environment. Combined with the theme crawler, the real-time intercommunication between the artificial intelligence system and the online public opinion dissemination system is realized, and a real-time, online, closed-loop and adaptive parallel intelligence Communities is builded. Our experiments show that the multiagent artificial intelligence system has excellent performance in intelligence prediction and intelligence guidance.