Endless Web

Authors

  • Gillian Smith Northeastern University
  • Alexei Othenin-Girard University of California, Santa Cruz
  • Jim Whitehead University of California, Santa Cruz
  • Noah Wardrip-Fruin University of California, Santa Cruz

Keywords:

procedural content generation, level generation, PCG-based game design, AI-based game design

Abstract

Endless Web is a game where a procedural content generator is deeply integrated into the mechanics, dynamics, and aesthetics. The game involves players exploring the generative space of its built-in content generator, by making decisions that influence the parameters to the generator. Players must build strategies around the choices they are making to ensure that levels are at an appropriate level of challenge for them, while simultaneously exploring to discover goals hidden in layers of the generative space.

 

Downloads

Published

2021-06-30

How to Cite

Smith, G., Othenin-Girard, A., Whitehead, J., & Wardrip-Fruin, N. (2021). Endless Web. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 9(1), 209. Retrieved from https://ojs.aaai.org/index.php/AIIDE/article/view/12661