122 citations · 129 across the 9 of their papers we have counts for
9 papers
AI Models Can Predict and Collaboratively Modulate Human Memory Search
Eric Lacosse, Mariana Duarte, Graham Todd +2
Large language models (LLMs) exhibit unprecedented natural language generation and many text-based problem-solving capabilities. Indeed, in many language-based tasks, for example r…
PuzzleJAX: A Benchmark for Reasoning and Learning
Sam Earle, Graham Todd, Yuchen Li +5
We introduce PuzzleJAX, a GPU-accelerated puzzle game engine and description language designed to support rapid benchmarking of tree search, reinforcement learning, and LLM reasoni…
Generation and Evaluation in the Human Invention Process through the Lens of Game Design
Katherine M. Collins, Graham Todd, Cedegao E. Zhang +6
The human ability to learn rules and solve problems has been a central concern of cognitive science research since the field's earliest days. But we do not just follow rules and so…
ScriptDoctor: Automatic Generation of PuzzleScript Games via Large Language Models and Tree Search
Sam Earle, Ahmed Khalifa, Muhammad Umair Nasir +4
There is much interest in using large pre-trained models in Automatic Game Design (AGD), whether via the generation of code, assets, or more abstract conceptualization of design id…
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…
GAVEL: Generating Games Via Evolution and Language Models
Graham Todd, Alexander Padula, Matthew Stephenson +3
Automatically generating novel and interesting games is a complex task. Challenges include representing game rules in a computationally workable form, searching through the large s…
Goals as Reward-Producing Programs
Guy Davidson, Graham Todd, Julian Togelius +2
People are remarkably capable of generating their own goals, beginning with child's play and continuing into adulthood. Despite considerable empirical and computational work on goa…
Missed Connections: Lateral Thinking Puzzles for Large Language Models
Graham Todd, Tim Merino, Sam Earle +1
The Connections puzzle published each day by the New York Times tasks players with dividing a bank of sixteen words into four groups of four words that each relate to a common them…
Large Language Models and Games: A Survey and Roadmap
Roberto Gallotta, Graham Todd, Marvin Zammit +4
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 within nat…