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.

本文介绍了“美学机器人”的实现，通过发布带有用户制作的游戏地图或演化系统生成的地图的图像，然后提示用户在图像的线程中投票，以评选出最美观的地图，并根据每个地图的得票分布来学习用户的偏好，以生成未来赢得投票配对的地图;我们讨论了该系统自发布以来从机器人生成的游戏地图和参与Twitter的用户中出现的持续结果和新兴行为。

美学机器人：在推特上交互演化游戏地图