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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(7), pp.39-46
  • DOI : 10.9708/jksci.2020.25.07.039
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 4, 2020
  • Accepted : July 14, 2020
  • Published : July 31, 2020

Hyun-Syug Kang 1

1경상대학교

Accredited

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.

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