7 papers
Nonslop: A Gamified Experiment in Human-AI Collaborative Writing
Maria Edwards, Julian Togelius
The rapid proliferation of large language models (LLMs) raises critical questions about human creativity and individual expression in an era of AI-assisted creation. When do humans…
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
Sam Earle, Kai Arulkumaran, Andrew Dai +3
We are in the midst of large-scale industrial and academic efforts to automate the processes of scientific, technological and creative production through AI-driven assistants. Hist…
Learning Local Constraints for Reinforcement-Learned Content Generators
Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1
Constraint-based game content generators that learn local constraints from existing content, such as Wave Function Collapse (WFC), can generate visually satisfying game levels but…
Ludax: A GPU-Accelerated Domain Specific Language for Board Games
Graham Todd, Alexander G. Padula, Dennis J. N. J. Soemers +1
Games have long been used as benchmarks and testing environments for research in artificial intelligence. A key step in supporting this research was the development of game descrip…
Ethical Considerations of Large Language Models in Game Playing
Qingquan Zhang, Yuchen Li, Bo Yuan +3
Large language models (LLMs) have demonstrated tremendous potential in game playing, while little attention has been paid to their ethical implications in those contexts. This work…
Evolutionary Level Repair
Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1
We address the problem of game level repair, which consists of taking a designed but non-functional game level and making it functional. This might consist of ensuring the complete…