Cook, Michael, Simon Colton, Jeremy Gow, and Gillian Smith. “General analytical techniques for parameter-based procedural content generators.” In 2019 IEEE Conference on Games (CoG) , pp. 1-8. IEEE, 2019.
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Most generative systems built in game development are parameter-driven, but the relationship between parameters and the output of the system is often unclear. This makes them frustrating to use for both experts and novices, and as a result generators are often filtered post-hoc, or tweaked through time-consuming trial and error. In this paper we introduce two analytical techniques: smoothness and codependence. We show how these features help analyse the impact of a parameter change on a generative system and suggest ways this could feed back into more intelligent tools that make working with procedural generators more precise and pleasant.