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 …

Large language models (LLMs) hold interesting potential for the design, development, and
research of video games. Building on the decades of prior research on generative AI in …

This study summarizes the first ChatGPT4PCG competition held at the 2023 IEEE
Conference on Games. The goal of the competition is to explore emergent abilities of …

External knowledge graphs (KGs) can be used to augment large language models (LLMs),
while simultaneously providing an explainable knowledge base of facts that can be …

Abstract Procedural Content Generation (PCG) is defined as the automatic creation of game
content using algorithms. PCG has a long history in both the game industry and the …

In the evolving field of mixed-initiative game design, where procedural content generation
plays a pivotal role, establishing a comprehensive approach that empowers non-technical …

Advancements in large language models (LLMs) are revolutionizing interactive game
design, enabling dynamic plotlines and interactions between players and non-player …

External knowledge graphs (KGs) can be used to augment large language models (LLMs),
while simultaneously providing an explainable knowledge base of facts that can be …

Procedural Content Generation (PCG) is a method to automatically generate content with
little to no human assistance required. It emerges as a promising tool to generate …