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For computational intelligence to be useful in creating game agent AI, we need to focus on creating interesting and believable agents rather than just learn to play the games well. To this end, we propose a way to use multiobjective evolutionary algorithms to automatically create populations of non-player characters (NPCs), such as opponents and collaborators, that are interestingly diverse in behaviour...
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