Article(id=1242138998328603484, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138975222182601, articleNumber=null, orderNo=18, doi=10.3981/j.issn.1000-7857.2021.05.013, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1587916800000, receivedDateStr=2020-04-27, revisedDate=1604332800000, revisedDateStr=2020-11-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1619172739637, onlineDateStr=2021-04-23, pubDate=1615564800000, pubDateStr=2021-03-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1619172739637, onlineIssueDateStr=2021-04-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078615022, creator=sys-migrate, updateTime=1774078615022, updator=sys-migrate, issue=Issue{id=1242138975222182601, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='5', pageStart='1', pageEnd='168', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078609515, creator=sys-migrate, updateTime=1774078609515, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=117, endPage=125, ext={EN=ArticleExt(id=1242139004238377880, articleId=1242138998328603484, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=On future combat autonomous decision technology for starcraft, columnId=1242137755002675584, journalTitle=Science & Technology Review, columnName=Review, runingTitle=null, highlight=null, articleAbstract=StarCraft is an important game for studying the future combat autonomous decision technology. Similarities between StarCraft and the autonomous decision process are described. Planning, learning, and uncertainty in decision-making algorithms for StarCraft are also analyzed. Firstly, the key problem of future combat autonomous decision-making technology is discussed in terms of decision complexity. Then, the article proposes to create a large-scale war game to clarify the development of future battle autonomous decision-making technologies, such as system's top-level architecture, game AI modeling technology, large game engines, etc. in order to provide a useful reference for the development of autonomous decision system intelligent technology., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=//0jaJDGxViynMYJp4Aj3g==, pdfFileSize=1359806, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. Key Laboratory of Cognition and Intelligence Technology, China Electronics Technology Group Corporation, Beijing 100086, China;
2. Information Science Academy, China Electronics Technology Group Corporation, Beijing 100086, China;
3. CNGC North Automatic Control Technology Institute, Taiyuan 030006, China, fund=null, authors=HUANG Bincheng^1,2, CHEN Si^1,2, GAO Fang^1,2, GE Jianjun^1,2, WU Xueling³, authorsList=HUANG Bincheng, CHEN Si, GAO Fang, GE Jianjun, WU Xueling), CN=ArticleExt(id=1242139001495303051, articleId=1242138998328603484, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=星际争霸视角的未来作战自主决策技术, columnId=1242134377686180284, journalTitle=科技导报, columnName=综述, runingTitle=null, highlight=null, articleAbstract=星际争霸游戏对于研究未来作战自主决策技术有重要参考价值。阐述了星际争霸游戏与自主决策过程的相似性，分析了星际争霸战略、战术决策算法中面临的规划、学习以及不确定性等热点问题，从决策技术复杂度入手，讨论了未来作战自主决策技术面临的瓶颈问题，并提出以打造大型战争游戏为手段，重点从系统顶层架构、游戏AI建模技术、大型战争游戏引擎等关键技术出发，试图指出未来作战自主决策技术发展着力点，为自主决策系统的智能化技术开发和研究提供研究思路和理论基础。, correspAuthors=null, authorNote=黄彬城,工程师,研究方向为群体智能、多智能体决策,电子信箱:huangbc1987@126.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=OhEVIjGrYXj1hE1T7wRW8A==, pdfFileSize=1359806, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 中国电子科技集团公司认知与智能技术重点实验室, 北京 100086;
2. 中国电子科技集团公司信息科学研究院, 北京 100086;
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