상세정보
학술대회
Predicting Game Outcome in Multiplayer Online Battle Arena Games
- 발행일
- 202010
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1261-1263
- 협약과제
- 20IH3300, 메타 플레이 인식 기반 지능형 게임 서비스 플랫폼 개발, 양성일
- 초록
- Multiplayer online battle arena (MOBA) is currently one of most popular game genres in game artificial intelligence (AI). In this paper, we propose a method for predicting game outcome in MOBA games. Firstly, we extract features that contain the properties of the game outcome from game replay logs, taking into account game time. And then we implement a model for predicting the game outcome and interpret which features are important factors in the model. Experimental results show that the proposed method has high accuracy enough to predict the game outcome at a certain time point. It also analyzes the main play factors of game outcome for each game time zone.
- KSP 제안 키워드
- High accuracy, Multiplayer online battle arena, Time point, Time zone, artificial intelligence, extract features, game genres