Interactive Evolution as a Game Mechanic

This thesis explores how interactive evolution is perceived as a game mechanic in a simulation based environment. An artifact called Genetic Olympics was created as a simulation in which interactive evolution was implemented. In the artifact, users are presented with activities that allow AI-agents, in the form of Olympians, to compete against each other. The user functions as the selection part of an evolutionary algorithm, letting the user choose the direction to evolve the Olympians by continually breeding them in different ways. Data about how users perceived interactive evolution as a game mechanic was gathered through interviews. The data from the interviews later formed a questionnaire. The answers from the questionnaire showed how the users had both positive and negative experiences when using the artifact. The users proposed how to augment the artifact to become more like a game. By adding minor goals for the user to reach, the artifact could lean more toward what a game resembles. All in all, the data shows that interactive evolution works in simulation based games