Others who oppose the previous idea would say that machines can think like humans because they can get answers to questions in the same logical manner as humans. For example, the logic piano, created by Stanley Jevons, is a machine that is able to find a conclusion that reflects all of the given premises, and the conclusion is the same as the conclusion produced by the logic used by humans. This example opposes the previous example by saying that although machines are dependent on the information that is given, the thinking or solving of a problem is done by the machine.
In order to solve the problems associated with the question of machine thinking, I chose to accept that machines are capable of thinking like humans, but they are limited in which types of questions or problems they can answer. For example, the logic piano cannot determine if the room is cold unless the premises could conclude to that conclusion; because the conclusion that the room is cold could also be concluded by the logic or the senses used by humans, the logic pian...
... middle of paper ...
...which means that the purpose of the machine corresponds with the inputs or designs of the machine implemented to the machine. The function of machines is dependent on how the machines are made, but does not affect on how the machine produce results; the inputs of information in the machine can be describe as a child’s notebook where its notes is how it learns and is its basis for performing actions. This idea was presented in Turing’s article, “Computing Machinery and Intelligence”, which describes how machines thought process are viewed as well as how it resembles the human thinking process (Turing, 1950). This idea of machines being dependent on humans for its basic functions would support that machine do not have free will even though they think like humans; for example, the logic machine cannot perform its computation without someone putting in premises manually.
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