Aesthetic Bot: Interactively Evolving Game Maps on Twitter

Authors

  • M Charity New York University
  • Julian Togelius New York University

DOI:

https://doi.org/10.1609/aiide.v18i1.21943

Keywords:

Interactive Evolution, Evolutionary Algorithm, Level Design, Twitter, Twitter Bots, Neural Network, Aesthetic, User Study

Abstract

This paper describes the implementation of the Aesthetic Bot, an automated Twitter account that posts images of small game maps that are either user-made or generated from an evolutionary system. The bot then prompts users to vote via a poll posted in the image's thread for the most aesthetically pleasing map. This creates a rating system that allows for direct interaction with the bot in a way that is integrated seamlessly into a user's regularly updated Twitter content feed. Upon conclusion of the each voting round, the bot learns from the distribution of votes for each map to emulate user preferences for design and visual aesthetic in order to generate maps that would win future vote pairings. We discuss the ongoing results and emerging behaviors that have occurred since the release of this system from both the bot's generation of game maps and the participating Twitter users.

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Published

2022-10-11

How to Cite

Charity, M., & Togelius, J. (2022). Aesthetic Bot: Interactively Evolving Game Maps on Twitter. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 18(1), 18-25. https://doi.org/10.1609/aiide.v18i1.21943