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The Turing Test is conceptualized as a method to evaluate a machine's capability to exhibit intelligent behavior that is indistinguishable from that of a human. This assessment involves a human evaluator engaging in natural language conversation with both a machine and a human participant. If the evaluator cannot reliably tell which participant is which, the machine is considered to have passed the test, demonstrating its ability to emulate human-like responses.

This concept highlights the focus on behaviors rather than internal processes or emotional responses, putting forth the notion that machines can potentially reach a level of responsiveness and interaction that mimics human intelligence. The emphasis is on how machines handle conversation and present information, indicating their intelligence based on performance rather than inherent qualities.

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