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

Yu SHEN; Jinpeng HAN; Lingxi LI; Fei-Yue WANG

doi:10.11959/j.issn.2096-6652.202023

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

Review Intelligence | 更新时间：2024-06-05

- AI in game intelligence—from multi-role game to parallel game
- Chinese Journal of Intelligent Science and Technology Vol. 2, Issue 3, Pages: 205-213(2020)
- 作者机构：
  
  1. 中国科学院大学人工智能学院，北京 100049
  2. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  3. 西安交通大学软件学院，陕西西安 710049
  4. 印第安纳大学-普渡大学印第安纳波利斯分校电子与计算机工程系，美国印第安纳波利斯 IN 46202
  5. 青岛智能产业技术研究院，山东青岛 266109
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202023
  CLC： TP305
- Published Online：2020-09，
  
  Published：20 September 2020
- 稿件说明：
移动端阅览
Yu SHEN, Jinpeng HAN, Lingxi LI, et al. AI in game intelligence—from multi-role game to parallel game[J]. Chinese journal of intelligent science and technology, 2020, 2(3): 205-213.
DOI：

Yu SHEN, Jinpeng HAN, Lingxi LI, et al. AI in game intelligence—from multi-role game to parallel game[J]. Chinese journal of intelligent science and technology, 2020, 2(3): 205-213. DOI： 10.11959/j.issn.2096-6652.202023.

摘要

总结了国内外人工智能技术在游戏领域的研究进展，分析了游戏领域的研究进步对于现实社会的意义。针对强化学习中免模型方法存在的仿真与真实的鸿沟、基于模型的方法缺乏通用性的问题，提出平行博弈的思想和方法，介绍了平行博弈在解决现有单角色博弈和多角色博弈问题上的先进之处。认为虚实结合的平行博弈方法将成为迈向通用人工智能的奠基石。

Abstract

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.

关键词

Keywords

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