As stated in the glossary, one of the problems in Artificial Intelligence is software’s lack of common-sense knowledge about the world. Of course AI is a wide field and lack of common sense does not hurt Deep Blue’s chess playing abilities or the capabilities of an OCR program to recognize characters, both of which are the subjects of certain subcategories of AI. In communicating with humans and making sense of natural language on the other hand, this lack of common-sense is the main reason for computers’ lousy performance.
Several projects are attempting to solve this problem and, using different methods, trying to teach computers common-sense. This article discusses many of these projects, their approaches and the problems they face.
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Australian robotic software firm
Collective intellect (or stupidity) has always fascinated me and the Web allows curious people to test many such concepts with ease. Such interest was in part the reason for making my
Browsing through material on genetic computer methods I have on several occasions encountered a very interesting phenomenon – genetic methods that exploit flaws in their environment to help achieving their goals.
MIT’s
A collaboration art project between the
Researchers at MIT have solved the mystery of how the insects known as water striders move across water’s surface. While it is no mystery how they manage to stay afloat (many of us have surely done experiments with water’s surface tension), previous theories on how they manage to move on the surface have proven wrong. The striders actually “row” on the water surface and the researchers have made a very simple robot that mimickes this behavior.