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Human vs Computer

It is a image from Machine Learning and Data Mining, Introduction to Principies and Algorithms (Igor Kononenko and Matjazkukar)

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Comment by Fernando Moreno Ruiz on October 3, 2010 at 3:53pm
Thanks for this comment. Your project looks interesting. I have look around your web page and the concepts. I saw the spanish traduction but it is not completed. I'd like to read the english concepts explanation to understand the way for understanding natural language. At first I was thinking your project like prolog but I see your project higher level. Could your project learn and diference between true and false senteces? Could it learn like a human from born time? If it is possible it could mean the beginning of a competition between "virtuals humans" programmed by your project.
Comment by Tom Wolfer on August 30, 2010 at 1:48pm
Ah, but the biggest difference of all is......a human has the emotional, intuitive intelligence to know whether a decision (or model result) makes sense and is implementable (or should be implemented)....even if it may make logical sense! Sorry, I have to have some fun man! Great chart though :)
Comment by Ralph Winters on July 10, 2010 at 4:00pm
Somewhat related: Today's NY Times has an article regarding by national correspondent Amy Harmon who sits down to talk with the Bina48 about what it's like to be a robot.

Bottom line: We are not there yet.
Here is the link to the web video.

http://video.nytimes.com/video/2010/06/24/science/1247468035233/int...
Comment by Fernando Moreno Ruiz on July 8, 2010 at 12:40am
the "program" I mean the software part.
Comment by Fernando Moreno Ruiz on July 8, 2010 at 12:35am
I think so, because maybe the point of view from this table are computer from a long time ago. Really the parallel processing with threads or microprocessor with several cores also supercomputation are getting better than the human(I don't know exactly because I am not concern about the paralelism capacity of the human. Learns from errors has two point of view. The computer like a hardware. It is death and doesn't learn anything in instance that the human are composed of cells which learn by themself because they are alive. If we talk about the program of our mind. We may find something similar between machine learnings and our mind. So the computer by hardware support cannot learn because is death. Maybe if the hardware would be alive it could be. But really I would be afraid in this case. Someone with the thinking power like a computer and alive. It would choose the dark side or light side? It would be a risk I guess.
Comment by Steffen Springer on July 7, 2010 at 12:12am
Funny ... thanks for sharing !

However, the points "efficient parallel processing" and "learns from errors" on human side is worth a discussion, aren't they ?

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