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The Turing Test of Intelligence: What Does it Suggest about the Nature of Human Reasoning

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This 5 page paper provides an overivew of the Turing Test and the views of Alan Turing in regards to the nature of human reasoning. Bibliography lists 2 sources.

Page Count:

5 pages (~225 words per page)

File: MH11_MHTuring.rtf

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Unformatted sample text from the term paper:

intelligence. Turing argued that one day, computers would be able to be programmed to acquire abilities that rivaled human thought, human reason and in essence, human intelligence (1). While the modern era seems to be experiencing an increasing view of the capacity of artificial intelligence (AI) and the role that computers can play, Turings mid-20th century reflections challenged some of the central tenets of the separation of man and machinery. In fact, the Turing Test, which provided a comparative view of the responses of humans and computers, has led to contemplation about the nature of human reasoning and the ethics of creating and destroying machinery capable of processes that mirror human thought. Turings imitation game, which would be come known as the Turing Test, reflects an acknowledgement of the need to define the terms relative to thinking processes and computers, first by posing Turings central question, "Can machines think?" (2). It is important to note that Turing does not ask questions like "Can machines feel?" or "Can machines express human compassion?" Instead, his theory begins with a view of an interrogator asking questions a critique of the comparison between human and computer responses. What is evidenced by Turings perspective is that much of human thinking or reasoning is based on experience and the integration of experience into personal knowledge. Turing recognized that computers could be programmed with an initial set of instructions, or programming that would cover a number of different scenarios, but at some point their "knowledge" would be limited by their programming. If computers, then, could integrate experience into their programming, and change what they do if they do not get the response desired from their first attempt, then computers could essentially "learn" in the same manner as ...

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