Interview with Frank Kirchner, Editor-in-Chief ofAI Perspectives

AI Perspectives是一个新推出的普通赛期刊,涵盖“AI在行业,医疗保健,运输,教育,社会科学和人文学科以及商业经济学中的应用。”主编弗兰克·克切纳博士回答了以下问题。

This interview was originally publishedon the SpringerOpen blog

你是怎么第一次的begin researchingartificialintelligence(AI)?

我第一次觉得我们需要做一些关于智能机器的事情是我从家乡搬出来学习德国波恩的计算机科学。我突然远离我的摇滚乐乐队,我曾经玩过吉他,发现自己独自在我的小学生公寓里弹吉他。所以我买了自己的设备 - 合成器,鼓电脑等 - 一次刚刚发挥了一个乐器。然而,这些是80年代,鼓电脑是机器人。它如此准确地播放了节拍,音乐响起的无菌。我实际上偶然发现了一个我只开始理解的问题。

Actually, I became aware of it during my studies at the University of Bonn, when my theoretical computer science professor explained about two kinds数学问题:those that are computationally solvable and those that are not, at least not in finite time and space.他继续向图灵机解释为解决第一类问题的工具,我开始怀疑,什么关于第二种类型?Istarted readingTuring’soriginal papers.Interestinglyenough he argued that the phenomenon of intelligencecannotbe programmed into a machine but must be acquiredthroughlearning! Actually, he argued for robots, with embedded learning capabilities, to iteratively achieve higher levels of intelligence.

I started to focus on neuroscience, machine learning, and robotics and did my PhD by applying my own version of a hierarchical reinforcement learning algorithm to a six-legged walking machine that I had built myself.

什么would you say are the biggest challengestheAI研究领域is现在facing?

我看到集成问题是GameChanger。如果我们能够将我们已经拥有的许多不同部分解决方案集成在语音识别,视觉和图像理解,优化,控制等中的许多不同的部分解决方案中,我们将能够到达技术系统中的一个智能级别。然后,这些系统能够基于使用多个AI技术的多个输入方式来创建元知识,最终在分层知识生成架构的几个层次上。把它放入一个我们可以称之为“永远关闭”系统的系统中,然后我们更接近他所谓的“智能机制”中的智能获取的想法。

From my point of view, these frameworks and integrated solutions must be inside a physical machine (you may call it a robot), as the ultimate challenge to increase and merge knowledge on higher levels comes from its performance in the (so far not simulatable—until we have Quantum computers) real world.

Dr. Kirchner is Director of the German Research Center for Artificial Intelligence, which developed “Charlie,” an ape-like robot with an artificial spine and sensor feet capable of moving in 4 directions. (Click the photo to watch Charlie move.)

How does theopenaccess nature ofthis journalcontribute to theprogress of AI research?

Open access is simply the best way to spread the news!

On the consumer side, it excludes too many people if you require money to read research results. The problem actually is that we exclude minds—maybe some of them brilliant minds—that would come up with concepts and ideas that push the research forward.

More and more funding agencies heard the bell and are allowing for publication fees to be put into the research proposal. This is a very positive development and it will allow us to publish more in open access journals.

什么are your plans为了thejournal’sfirst year? What new projects are you excited to start with?

We are currently in the age of using AI techniques in nearly all aspects of human life. The results of these applications are sometimes overwhelming and I believe that this can be a major draw back for AI-Science. If you are too successful it is difficult to question yourself. This is what this journal wants to emphasize: Question your achievements. Not to say you should not do this, but instead:In命令说我从这个申请中学到了什么,what are the pros and con本申请,和finally does this application give me new ideas or raisenew questions about or for basic research that I need to address?Obviously, we do not just address and invite some top-level experts of the field. We want to hear perspectives on the above-mentioned questions from those at all career levels.


FrankKirchner, Editor-in-Chief ofAI Perspectives, isO.教授f Mathematics, Computer Science, and Production Engineering at the University of Bremen andDirector of the German ResearchCenter为了Artificial Intelligence.

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