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공지사항
논문명 |
Intelligent Agent Grouping Recommendation Method |
구분 |
국내발표 |
저자 |
Haitao Guo, Kayumiy Shokh Jakhon and Kyungeun Cho |
국내/국외 |
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학술회의명 |
The 2018 International Congerence on Future Information Technology, applications and services |
개최국가 |
대한민국 |
주관기관 |
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게재일 |
2018.11 |
The method proposed in this paper recommends the best grouping of agents for real-time strategy games to reduce agents’ control time and increase winning rates. The methods include K-means, Influence Mapping, and Bayesian Probability. For the validation of the proposed method, the results of the proposed method were compared to the traditional approach in a real-time strategy game. The results show that the proposed method will lead to a 47% improvement in winning rates.
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