The article argues that Deep Blue may be the closest we may ever come to having artificial intelligence. According to the article, computers will never be able to be like humans because they are not able to have object recognition. A game such as chess can easily be dominated by computers that are able to compute all of the possible moves in just fractions of a second. However, the ability to recognize objects and faces requires far more complex processes. Though a computer can be programed to recognize words, the programing only allows for pre-recorded sounds to be matched up and executed in a pre-programed way. For a computer to recognize an object as a desk, it must have the ability to take see the object then infer its use. Alternately the computer could campare it to the image of a desk already programed in. However the computer would need to be able to recognize a desk that had a different shape, color etc.

Cognitive Science is largely related to solving this problem, because it is also interested in how the brain recognizes objects, and accepts changing perceptions. Once it is understood how the human brain recognizes different objects, it could be possible to simulate it on a computer. It is this working model that both cognitive science and artificial inteligence strive to create. To understand the way that the brain recognizes objects leads into the discusion of symbolism versus connectionism.