학습 시스템을 이용한 게임 에이전트의 성능 분석 및 구현
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 권용철 | - |
dc.contributor.author | 이원형 | - |
dc.date.available | 2019-08-20T05:01:12Z | - |
dc.date.issued | 2010 | - |
dc.identifier.issn | 1976-6513 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/34726 | - |
dc.description.abstract | Recently, the role of artificial intelligence techniques in games is becoming important. Game artificial intelligence technology in the past, the graphics and sound technology were more important. However, Artificial intelligent technology in current games is necessary technology to provide variety pleasure to users, and role of user's partner or helper. Learning ability of artificial intelligence technologies is attention getting technology. In this paper, we apply the learning system to the game agent to implement it, and a nalysis its performance. | - |
dc.format.extent | 7 | - |
dc.publisher | (사)한국컴퓨터게임학회 | - |
dc.title | 학습 시스템을 이용한 게임 에이전트의 성능 분석 및 구현 | - |
dc.title.alternative | Performance Analysis and Implementation of Game Agent Using Learning System | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | 한국컴퓨터게임학회논문지, no.23, pp 269 - 275 | - |
dc.identifier.kciid | ART001516676 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 275 | - |
dc.citation.number | 23 | - |
dc.citation.startPage | 269 | - |
dc.citation.title | 한국컴퓨터게임학회논문지 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Artificial intelligence | - |
dc.subject.keywordAuthor | Learning algorithm | - |
dc.subject.keywordAuthor | Game | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.