论文:CIV2 让AI通过阅读手册来进行

MIT研究团队通过教超级计算机阅读游戏手册,使其在复杂策略游戏中表现出人类级别的技能,揭示了AI在理解复杂指令和规则方面的潜力。这一实验不仅展示了AI在游戏领域的进步,还暗示了其在未来可能解读各类文档的能力。

新闻: http://news.yahoo.com/blogs/technology-blog/computer-learns-read-manual-improve-gameplay-world-domin

论文:http://people.csail.mit.edu/regina/my_papers/civ11.pdf

阅读手册的能力一旦扩展,以后人类在人机交互方面将会获得极大进展,AI智能上也将有巨大突破。

也许某一天,我们开发的设备也能够阅读用户的施工文档了。

 

After studying the game's instructions, the artificial intelligence impresses its creators

While some advanced computer systems are doing things like cataloging every bit of trivia in the known universe or performing delicate medical procedures with extreme precision, researchers at MIT decided to teach their own supercomputer a different, yet equally important life lesson — how to play video games. And they didn't do it the easy way, by simply programming a series of if/then commands. No, instead they they taught it do something most human players refuse to: read an instruction manual.

The research began with the computer game Civilization II. In the Civilization series, players must use advanced strategies and tactics in order to further their virtual reign. It's a complicated formula that can stump and frustrate even the most skilled human players, and that's precisely why it was chosen for the ambitious experiment.

The scientists aimed to see just how close an artificial player would mimic a living, breathing human, and they were surprised by what they found. The computer was equipped with the game instructions and allowed to use them to compare what was happening in the game. After a bit of trial and error, the computer began to perfect its play style.

After studying every word the manual had to offer, the computer — which was equipped with no programming or information about the game itself — was able to rack up a stunning 79% win rate. The team at MIT says the game-mastering artificial intelligence they used could potentially inhabit robots one day, which would make for some very interesting Rock Band parties.

MIT via Techeye

【SCI一区论文复】基于SLSPC系列的高阶PT-WPT无线电能传输系统研究(Matlab代码实现)内容概要:本文围绕“基于SLSPC系列的高阶PT-WPT无线电能传输系统研究”展开,重点复现SCI一区论文中的核心技术,通过Matlab代码实现高阶无线电能传输系统的建模与仿真。研究聚焦SLSPC拓扑结构在恒压-恒流(CV/CC)输出特性方面的优势,深入分析系统的传输效率、耦合特性、频率分裂现象及参数敏感性,并探讨其在高功率、长距离无线充电场景中的应用潜力。文中详细给出了系统数学建模、参数设计、仿真验证等关键步骤,旨在帮助读者掌握先进无线电能传输技术的核心原理与实现方法。; 适合人群:具备一定电力电子、自动控制理论基础,熟悉Matlab/Simulink仿真工具,从事无线电能传输、新能源充电技术等相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①深入理解SLSPC型无线电能传输系统的恒压恒流输出机理;②掌握高阶WPT系统的建模、仿真与性能分析方法;③复现SCI一区论文成果,为后续科研创新提供技术基础和代码参考;④应用于无线充电、电动汽车、植入式医疗设备等领域的系统设计与优化。; 阅读建议:建议读者结合Matlab代码逐段分析系统模型构建过程,重点关注谐振参数设计、传输特性仿真及效率优化策略,同时可拓展研究不同耦合条件下的系统行为,以深化对高阶WPT系统动态特性的理解。
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