FarmQuest: A Demonstration of an AI Director Video Game Test Bed

Authors

  • Kristen K. Yu University of Alberta
  • Matthew Guzdial University of Alberta
  • Nathan R. Sturtevant University of Alberta

DOI:

https://doi.org/10.1609/aiide.v18i1.21977

Keywords:

AI Director, Generalized Experience Management, Test Bed

Abstract

In AI director research, it is not straightforward for researchers to understand how each algorithm affects the player experience. This demo introduces PWR, which is a new fully developed video game test bed to evaluate AI directors. This demo includes 3 different AI director algorithms in order to help researchers improve their intuition for understanding the differences between potential algorithms, and also provides insight on the framework required to author a new AI director. This test bed can support future AI director research by allowing for direct comparisons of new algorithms.

Downloads

Published

2022-10-11

How to Cite

Yu, K. K., Guzdial, M., & Sturtevant, N. R. (2022). FarmQuest: A Demonstration of an AI Director Video Game Test Bed. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 18(1), 288-290. https://doi.org/10.1609/aiide.v18i1.21977