Explainable PCGML via Game Design Patterns

Understand

Procedural content generation via Machine Learning (PCGML) is the umbrella term for approaches that generate content for games via machine learning.

• One of the benefits of PCGML is that, unlike search or grammar-based PCG, it does not require hand authoring of initial content or rules.
• Instead, PCGML relies on existing content and black box models, which can be difficult to tune or tweak without expert knowledge.
• This is especially problematic when a human designer needs to understand how to manipulate their data or models to achieve desired results.