Balancing digital game by using player agents generated by Genetic Algorithm

Abstract

The research theme of this project is cost reduction of Quarity Assurance(QA) for digital game. Focusing on QA dealing with ensuring game balance. In this research, we create player agents for the game by Genetic Algorithm and systems to support QA's work using statistics of agents' data. Agents behave like real players in eyes of developers of the game. Agents' data can provide us statistics regarding strength of various items.