Computationally Intelligent Collaborative EnviROnment for game and level design

Tiago Machado,Andy Nealen, Julian Togelius

semanticscholar(2017)

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摘要
Mixed-initiative AI–based game design tools assist game designers by automating or semi-automating part of the design process, while also allowing free editing of game physics, graphics and/or mechanics. This can be done by providing suggestions, feedback, and constraint checking, often based on automatic playtesting. Several prototype tools that incorporate such abilities have been developed in recent years, however, they are all specific to a single game or a very narrow game genre. We present CICERO, a general-purpose AI-assisted design tool built on top of the General Video Game AI (GVGAI) framework. By leveraging the general game playing and game representation abilities of that framework, we show how several types of AI-based design assistance can be used across multiple games.
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