论文标题
审美机器人：在Twitter上进行交互演变的游戏地图
Aesthetic Bot: Interactively Evolving Game Maps on Twitter
论文作者
论文摘要
本文介绍了Aesthetic Bot的实现，这是一个自动化的Twitter帐户，该帐户发布了用户制造或从进化系统生成的小型游戏地图的图像。然后，该机器人提示用户通过图像线程中发布的民意测验进行投票，以获取最令人愉悦的地图。这将创建一个评级系统，该系统允许以无缝集成到用户定期更新的Twitter内容fef中的方式直接与机器人进行交互。在每次投票回合结束时，该机器人从每张地图的投票分布中学习，以模仿设计和视觉美学的用户偏好，以生成将赢得未来投票配对的地图。我们讨论了自机器人生成的游戏地图和参与的Twitter用户从该系统发布以来发生的持续结果和新兴行为。
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.
