  AI-controlled characters in fighting games are expected to possess reasonably
high skills and behave in a believable, human-like manner, exhibiting a
diversity of play styles and strategies. Thus, the development of fighting game
AI requires the ability to evaluate these properties. For instance, it should
be possible to ensure that the characters created are believable and diverse.
In this paper, we show how an automated procedure can be used to compare play
styles of individual AI- and human-controlled characters, and to assess
human-likeness and diversity of game participants.
