Chinese Journal of Intelligent Science and Technology ›› 2020, Vol. 2 ›› Issue (3): 205-213.doi: 10.11959/j.issn.2096-6652.202023

• Review Intelligence •     Next Articles

AI in game intelligence—from multi-role game to parallel game

Yu SHEN1,2,Jinpeng HAN3,Lingxi LI4,Fei-Yue WANG1,2,5()   

  1. 1 School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China
    2 The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
    3 School of Software Engineering,Xi’an Jiaotong University,Xi’an 710049,China
    4 Department of Electrical and Computer Engineering,Indiana University-Purdue University Indianapolis,Indianapolis IN 46202,USA
    5 Qingdao Academy of Intelligent Industries,Qingdao 266109,China
  • Revised:2020-08-19 Online:2020-09-20 Published:2020-10-20


The domestic and overseas research progress of artificial intelligence technology in the field of games was summarized and the significance of the research progress in the field of games for real life was analyzed.In view of the gap between simulation and reality in model based methods and the lack of generality of the model-based approach in reinforcement learning,the idea and method of parallel game were put forward,and the advance of parallel game in solving the existing problems of single-role game and multi-role game was introduced.The parallel game method will be the cornerstone of the general artificial intelligence.

Key words: game intelligence, multi-role game, parallel game, deep reinforcement learning, artificial intelligence

CLC Number: 

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