5 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
On the Evaluation of Procedural Level Generation Systems
Oliver Withington, Michael Cook, Laurissa Tokarchuk
The evaluation of procedural content generation (PCG) systems for generating video game levels is a complex and contested topic. Ideally, the field would have access to robust, gen…
The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods
Oliver Withington, Laurissa Tokarchuk
Expressive Range Analysis (ERA), an approach for visualising the output of Procedural Content Generation (PCG) systems, is widely used within PCG research to evaluate and compare g…
Visualising Generative Spaces Using Convolutional Neural Network Embeddings
Oliver Withington, Laurissa Tokarchuk
As academic interest in procedural content generation (PCG) for games has increased, so has the need for methodologies for comparing and contrasting the output spaces of alternativ…
Compressing and Comparing the Generative Spaces of Procedural Content Generators
Oliver Withington, Laurissa Tokarchuk
The past decade has seen a rapid increase in the level of research interest in procedural content generation (PCG) for digital games, and there are now numerous research avenues fo…