Logic Breakdown

Passage Summary: Scientists believe a mathematical theory is true because when they put it into a computer, the simulation acts exactly like the real thing.

Conclusion: There is strong evidence that the scientific theory of complexity is accurate.

Reasoning: Computerized mathematical models based on complexity theory behave in a way that mirrors the evolution of real-world phenomena.

Analysis: The argument moves from a premise about 'matching behavior' to a conclusion about 'theoretical correctness.' To justify this leap, we need a principle that connects the two. The scientists are essentially saying that if a model looks and acts like the real world, the math behind it must be right. Look for a principle that validates this specific methodology—something along the lines of 'if a mathematical model accurately simulates real-world behavior, the theory it is based on is likely correct.'

Passage Stimulus

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14.

Which one of the following principles, if valid, most justifies the scientists' conclusion?

Correct Answer
A
A gives exactly the needed bridge: if models based on a theory behave like their real-world counterparts, then the theory is probably correct. That directly justifies the scientists’ move from observed model–reality similarity to ‘good evidence’ for the theory.
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