Evolution of emergent behaviors for shooting game characters in Robocode

Various digital characters, which are automatic and intelligent, are attempted with the introduction of artificial intelligence or artificial life. Since a character´s behavior is designed by a developer, the style can be static and simple. Even complex patterns designed by a developer cannot satisfy various users and easily make them feel tedious. A game should maintain various and complex character´s behaviors, but it is not easy for the developer to design them. In this paper, we adopt genetic algorithm to produce various and excellent behavior-styles for characters especially focusing on Robocode which is one of the promising simulators for artificial intelligence.