Procedural Content Generation via Knowledge Transformation (PCG-KT)

no code implementations • 1 May 2023 • Anurag Sarkar, Matthew Guzdial, Sam Snodgrass, Adam Summerville, Tiago Machado, Gillian Smith

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.

Transfer Learning

Integrating Automated Play in Level Co-Creation

no code implementations • 20 Nov 2019 • Andrew Hoyt, Matthew Guzdial, Yalini Kumar, Gillian Smith, Mark O. Riedl

In level co-creation an AI and human work together to create a video game level.

Explainable PCGML via Game Design Patterns

no code implementations • 25 Sep 2018 • Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark Riedl

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

BIG-bench Machine Learning