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> So what, a program can identify the type of clothing specific person is wearing from a video using cutting-edge machine learning and computer vision. So what

> So what, a program can identify the type of clothing specific person is wearing from a video using cutting-edge machine learning and computer vision. So what, a program can interpret the movie I'm talking about just from hearing me describe a scene in it. So what, a program can beat the human champion in Jeopardy. Are those programs super intelligent? All these programs are doing great at recognizing things. Neural networks are good at that, and "deep learning" has been a breathrough in the field (even if overhyped). This is reactive. I don't see anyone showing algorithms that can do good planning. A good "cuccoo field" for that would be video games, where such planning systems would be a holy grail. For now, we only have ad-hoc and specialized systems.

jal278 12y ago
Perhaps you missed this: http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html http://www.nature.com/nature/journal/v518/n7540/full/nature1... A neural network that learns to play 40 different atari games at human-competitive level given only raw pixels and a few days of play time.
DennisP 12y ago
Planning is a big part of AI. One example is a recent system[1] that learned to play 49 Atari games, most at better than human skill. It had no specific programming for playing those games, or even video games in general. Its only input was the game video and the score, which it tried to optimize, and it was programmed to learn from its mistakes. [1] http://www.popularmechanics.com/culture/gaming/a14276/why-this-atari-playing-algorithm-could-be-the-future-of-ai/ http://www.popularmechanics.com/culture/gaming/a14276/why-th...
aamar 12y ago
As others have indicated, AI planning is a significant field, critical to self-driving cars, space probes, etc. Markov Decision Processes is a great sub-field. > A good "cuccoo field" for that would be video games, where such planning systems would be a holy grail. The game developer conventional wisdom for some time has been that very good AI is not worth building [1] because it is not very entertaining. I believe that's by far the dominant opinion. But, there are some interesting ways that AI is being explored in ways other than strong AI opponents [2]. [1] http://www.rockpapershotgun.com/2015/02/13/electric-dreams-part-1-the-lost-future-of-ai/ http://www.rockpapershotgun.com/2015/02/13/electric-dreams-p... [2] http://web.eecs.umich.edu/~soar/sitemaker/workshop/27/vanLent.pdf http://web.eecs.umich.edu/~soar/sitemaker/workshop/27/vanLen...

jal278 12y ago

Perhaps you missed this: http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html http://www.nature.com/nature/journal/v518/n7540/full/nature1... A neural network that learns to play 40 different atari games at human-competitive level given only raw pixels and a few days of play time.

DennisP 12y ago

Planning is a big part of AI. One example is a recent system[1] that learned to play 49 Atari games, most at better than human skill. It had no specific programming for playing those games, or even video games in general. Its only input was the game video and the score, which it tried to optimize, and it was programmed to learn from its mistakes. [1] http://www.popularmechanics.com/culture/gaming/a14276/why-this-atari-playing-algorithm-could-be-the-future-of-ai/ http://www.popularmechanics.com/culture/gaming/a14276/why-th...

aamar 12y ago

As others have indicated, AI planning is a significant field, critical to self-driving cars, space probes, etc. Markov Decision Processes is a great sub-field. > A good "cuccoo field" for that would be video games, where such planning systems would be a holy grail. The game developer conventional wisdom for some time has been that very good AI is not worth building [1] because it is not very entertaining. I believe that's by far the dominant opinion. But, there are some interesting ways that AI is being explored in ways other than strong AI opponents [2]. [1] http://www.rockpapershotgun.com/2015/02/13/electric-dreams-part-1-the-lost-future-of-ai/ http://www.rockpapershotgun.com/2015/02/13/electric-dreams-p... [2] http://web.eecs.umich.edu/~soar/sitemaker/workshop/27/vanLent.pdf http://web.eecs.umich.edu/~soar/sitemaker/workshop/27/vanLen...