讲座预告：General Video Game AI with Statistical Forward Planning

基于统计前向规划的通用视频游戏人工智能

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

报告时间：2018年10月8日星期一，

18：30-19：30

报告地点：北京邮电大学西土城校区教三楼435教室

主办单位：北京邮电大学国际学院

报告内容：

Statistical forward planning algorithms provide a simple and generalway to provide competent AI controllers for a variety of games. Examplealgorithms include Monte Carlo Search, Monte Carlo Tree Search, and Rolling Horizon Evolution. They require that the game statecan be copied and advanced (stepped forward) rapidly, a conditionthat is met in many cases. In this talk I will give a briefoverview of the algorithms and then demonstrate the ability ofrolling horizon evolution to play a variety of video games surprisinglywell without the need for any training.This paves the way for automated play testing and analysisas a tool to assist games design, as well as providing decision supportfor complex real-world planning problems.

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.