[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2020.25.07.039

Utilization of Simulation and Machine Learning to Analyze and Predict Win Rates of the Characters Battle

Kang, Hyun-Syug (Dept. of Computer Science, Gyeongsang National University)

Publication Information

Journal of the Korea Society of Computer and Information / v.25, no.7, 2020 , pp. 39-46 More about this Journal

Abstract

Recently, for designing virtual characters in the battle game field effectively, some methods are very needed to predicate the win rates of the battle of them efficiently. In this paper, we propose a method to solve this problem by combining simulation and machine learning. Firstly, a simulation is used to analyze the win rates of the battle of virtual characters in the battle game. In addition, we apply a regression model based machine learning scheme to predict win rates of the battle of virtual characters according to their abilities. Our experimental results using suggested method show that it is almost no difference between the win rates of the simulation and the prediction results using the machine learning scheme. And also, we can obtain good performance in the experiment using only simple regression based machine learning model.

Keywords

Character battle; Win rates prediction; Simulation; Regression model; Data analysis;

Citations & Related Records

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