Procedural content generation (PCG) refers to the practice of generating game content, such
as levels, quests or characters, algorithmically. Motivated by the need to make games …

Recent years have seen an explosive increase in research on large language models
(LLMs), and accompanying public engagement on the topic. While starting as a niche area …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

This survey explores procedural content generation via machine learning (PCGML), defined
as the generation of game content using machine learning models trained on existing …

Growing interest in eXplainable Artificial Intelligence (XAI) aims to make AI and machine
learning more understandable to human users. However, most existing work focuses on …

Quality-diversity (QD) algorithms search for a set of good solutions which cover a space as
defined by behavior metrics. This simultaneous focus on quality and diversity with explicit …

Machine learning advances have afforded an increase in algorithms capable of creating art,
music, stories, games, and more. However, it is not yet well-understood how machine …

This paper introduces Sentient Sketchbook, a tool which supports a designer in the creation
of game levels. Us-ing map sketches to alleviate designer effort, the tool auto-mates …

This paper attempts to give a high-level overview of the field of artificial and computational
intelligence (AI/CI) in games, with particular reference to how the different core research …

Creating and designing with a machine: do we merely create together (co-create) or can a
machine truly foster our creativity as human creators? When does such co-creation foster the …