Identification of Play Styles in Universal Fighting Engine
This addresses the need for believable and diverse AI in fighting games, but it is incremental as it focuses on evaluation rather than creating new AI.
The paper tackled the problem of evaluating AI-controlled characters in fighting games by developing an automated procedure to compare play styles and assess human-likeness and diversity, resulting in a method that can identify and measure these properties.
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.