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by Retric
2694 days ago
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> The key, of course, is whether we think that the person in the Room actually understands Chinese. As I said that’s no more relevant than if the paint on the walls understands Chinease. You can’t answer the question of if the room understands something by saying if a single element understands something or not. Or consider this, does Microsoft the company understand French? It seems like a simple question, but you can easily support yes or no. In some situations it can respond to a French speaker, but not all situations. |
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In order to grasp what you are saying about "Microsoft the company understand French" one needs to define what we mean by "understand." As you (correctly) say, our answer will depend on that definition.
But to say everything depends on our definition of understanding is to miss the point of the Chinese Room. The point of the argument is to support the claim that the sort of thing we normally classify as understanding—such as when we say someone understands Chinese—is not a property of the person following a lookup table (or by analogy, a machine with instructions). Thus, neither the person in the room, nor the machine, understands in the same sense as when we say "this person understands Chinese."
This is how the Chinese Room is supposed to work against Strong AI. Strong AI supposes that when you have appropriate instructions, a machine is said to understand in the same sense in which you say a human understands. The Chinese Room argument is meant to prompt the claim that the machine does not understand—or at the very least does not understand in the same sense that a human understands.