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Ultimately, research for Artificial Intelligence tries to create intelligent systems, systems which make their own free decisions with the ability to recognize and solve problems, systems which improve by learning from experience and error, in contrast to static systems following a (possibly complex) set of rules.

However, as the great Marvin Minsky described it in his 2001 Where's HAL? lecture (paraphrasing from memory) they make a robot walk down the hall trying to find a treasure. In 9 out of 10 cases, it doesn't find the treasure. However, when it does find the treasure, the video camera didn't work to record it, and they can't make the robot do it again.

Along similar lines, the great Noam Chomsky pointed out in a November 2012 interview that research for Artificial Intelligence still isn't able to predict the behavior of the nematode C. elegans with just 300 neurons (see related links for an insightful interview), not to speak of understanding more complex intelligent lifeforms.

While the quest for artificial intelligence undoubtedly is a noble one, the current state of the art is that there is very limited practical application and very limited success in terms of truly intelligent (artificial) systems.

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