Quality-Diversity optimization algorithms such as MAP-Elites, aim to generate collections of
both diverse and high-performing solutions to an optimization problem. MAP-Elites has …

We present a collaborative mixed-initiative system for building levels for the puzzle game"
Baba is You". Unlike previous mixed-initiative systems, Baba is Y'all is designed for …

Games are complex, multi-faceted systems that share common elements and underlying
narratives, such as the conflict between a hero and a big bad enemy or pursuing a goal that …

In recent years, machine learning (ML) systems have been increasingly applied for
performing creative tasks. Such creative ML approaches have seen wide use in the domains …

In mixed-initiative co-creation tasks, wherein a human and a machine jointly create items, it
is important to provide multiple relevant suggestions to the designer. Quality-diversity …

Prior research has shown variational autoencoders (VAEs) to be useful for generating and
blending game levels by learning latent representations of existing level data. We build on …

Abstract In Mixed-Initiative Co-Creative tools, the human is mostly in control of what will and
can be created, delegating the AI to a more suggestive role instead of a colleague in the co …

Quests are a core element in many games, especially role-playing and adventure games,
where quests drive the gameplay and story, engage the player in the game's narrative, and …

Diversity plays a significant role in many problems, such as ensemble learning,
reinforcement learning, and combinatorial optimization. How to define the diversity measure …

1 ABSTRACT Expressive Range Analysis (ERA), an approach for visualising the output of
Procedural Content Generation (PCG) systems, is widely used within PCG research to …