Bibliographic Details
| Title: |
Overview of intelligent game:enlightenment of game AI to combat deduction |
| Authors: |
Yuxiang SUN, Yihui PENG, Bin LI, Jiawei ZHOU, Xinlei ZHANG, Xianzhong ZHOU |
| Source: |
智能科学与技术学报, Vol 4, Pp 157-173 (2022) |
| Publisher Information: |
POSTS&TELECOM PRESS Co., LTD, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Electronic computers. Computer science |
| Subject Terms: |
intelligent game, game AI, intelligent combat deduction, intelligent wargame, deep reinforcement learning, Electronic computers. Computer science, QA75.5-76.95 |
| More Details: |
The field of intelligent game has gradually become one of the hotspots of AI research.A series of research breakthroughs have been made in the field of game AI and intelligent wargame in recent years.However, how to develop game AI and apply it to the actual intelligent combat deduction is still facing great difficulties.The overall progress of research in the field of intelligent games in domestic and overseas were explored, the main attribute requirements of intelligent combat deduction was tracked, and it was summarized with the latest advancements in reinforcement learning.The feasibility of developing game AI into intelligent combat deduction were comprehensively analyzed from three dimensions: mainstream research technology in the field of intelligent game, relevant intelligent decision technology and technical difficulties of combat deduction, and finally, some suggestions for the development of future intelligent combat deductiongives were given.This paper can introduce a clear development status and provide valuable research ideas for researchers in the field of intelligent game. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
Chinese |
| ISSN: |
2096-6652 |
| Relation: |
http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202209; https://doaj.org/toc/2096-6652 |
| DOI: |
10.11959/j.issn.2096-6652.202209 |
| Access URL: |
https://doaj.org/article/97ce14877bc24421a34eff06ff22d012 |
| Accession Number: |
edsdoj.97ce14877bc24421a34eff06ff22d012 |
| Database: |
Directory of Open Access Journals |
