"For humans, knowledge is an entire universe, a welter of sensations and memories, desires, facts, skills, songs and images, words, hopes, fears and regrets, not to mention love. But for those hoping to build intelligent machines, it has to be simpler. Broadly speaking, it falls into three categories: sensory input, ideas and symbols.
Consider the color blue. It's something that computers and people alike can perceive, each in their own fashion. Sensory perception is the raw material of knowledge. Now think of the three-letter word "sky." Those letters are a symbol for the biggest piece of blue in our world. Computers can handle such symbols. But how about this snippet from Lord Byron? "Friendship is love without his wings." That sentence represents the third realm of knowledge: ideas. How can a machine make sense of these? In these early years of the 21st century, ideas remain the dominion of humans—and the frontier for thinking machines."
-On IBM Watson
Consider the color blue. It's something that computers and people alike can perceive, each in their own fashion. Sensory perception is the raw material of knowledge. Now think of the three-letter word "sky." Those letters are a symbol for the biggest piece of blue in our world. Computers can handle such symbols. But how about this snippet from Lord Byron? "Friendship is love without his wings." That sentence represents the third realm of knowledge: ideas. How can a machine make sense of these? In these early years of the 21st century, ideas remain the dominion of humans—and the frontier for thinking machines."
-On IBM Watson
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