PHL340H1 Lecture Notes - Fuchsia, Turing Test, Functional Decomposition
Document Summary
Shank strong artificial intelligence: writes a program which is able to answer questions about restaurants, his claim is: the machine running the program understands restaurants. You can answer the question nonetheless (without knowing the explicit answer/clues) how did you know that: shank can get a machine to do the same thing it understands. Something enough to answer questions that are not explicitly answered: explains what sort of knowledge you have, or maybe what sort of operations you are performing, etc. Heil raised the following problem: machine performing a store inventory control. Store owner has to link the codes in the machine to items in his stock: in one store, the internal codes apply to food items ex. #4 is bananas and: in another store, the internal codes apply to hardware ex. #4 is light bulb: as well, different machines can be used to keep track of food inventory. What about things that have different representations.
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