报告人：Dr Simon Lucas   人工智能教授

伦敦玛丽女王大学电子工程和计算机科学学院院长

伦敦玛丽女王大学电子工程和计算机科学学院游戏人工智能研究小组负责人

IEEE游戏领域期刊创始主编

计算智能和游戏领域IEEE国际会议创始人之一

IEEE计算智能教育学会副校长

报告内容：

In recent years there has been great progress in strong game-playing agents, with AI now superhuman on many challenging games such as Go, and becoming competitive on even harder games such as Starcraft. This has been achieved with a mix of Deep Reinforcement Learning and Statistical Forward Planning (SFP) algorithms. In this talk I’ll give a summary of some of the main achievements and current unsolved problems, as well as exploring opportunities for Game AI in other directions. This includes automatically tuning and playtesting games end evolving game content, and also how we can apply game AI to real-world decision making.

报告人简介：

Dr Simon Lucas 

西蒙·卢卡斯博士是人工智能教授，伦敦玛丽女王大学电子工程和计算机科学学院院长，游戏人工智能研究小组的负责人。IEEE游戏领域期刊创始主编，计算智能和游戏领域IEEE国际会议创始人之一。同时担任IEEE计算智能教育学会副校长。他的研究方向包括开发和应用计算智能技术以建立更好的游戏人工智能，用AI设计更好的游戏，深入探索智能的本质，并向通用人工智能方向努力。

Dr Simon Lucas is a professor of Artificial Intelligence and Head of the School of Electronic Engineering and Computer Science at Queen Mary University of London where he also heads the Game AI Research Group. He is the founding Editor-in-Chief of the IEEE Transactions on Games and he co-founded the IEEE Conference on Computational Intelligence and Games. He is currently the Vice-Principal for Education of the IEEE Computational Intelligence Society. His research involves developing and applying computational intelligence techniques to build better game AI, use AI to design better games, provide deep insights into the nature of intelligence and work towards Artificial General Intelligence.