109 citations · 109 across the 1 of their papers we have counts for
4 papers
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators
Matthew Guzdial, Nicholas Liao, Jonathan Chen +6
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 learn…
Co-Creative Level Design via Machine Learning
Matthew Guzdial, Nicholas Liao, Mark Riedl
Procedural Level Generation via Machine Learning (PLGML), the study of generating game levels with machine learning, has received a large amount of recent academic attention. For c…
Player Experience Extraction from Gameplay Video
Zijin Luo, Matthew Guzdial, Nicholas Liao +1
The ability to extract the sequence of game events for a given player's play-through has traditionally required access to the game's engine or source code. This serves as a barrier…
Creative Invention Benchmark
Matthew Guzdial, Nicholas Liao, Vishwa Shah +1
In this paper we present the Creative Invention Benchmark (CrIB), a 2000-problem benchmark for evaluating a particular facet of computational creativity. Specifically, we address c…