然而，我们知道的是，人们做出的决定基于对概率的判断，而此他们在头脑中不断计算和精确这个判断——这叫做“概率推理”。

What is known, however, is that people make decisions based on probabilities, which are constantly being calculated and refined in their heads—something called “probabilistic inference”.

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最后，如此一系列的演绎推理将能处理整个句子和段落，从而生成一个精确的文本意义的陈述。

At the end, a series of deductions like these would handle entire sentences and paragraphs to yield an accurate text-meaning representation.

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一般信度网的精确推理是一个NPC问题。

Exact inference on general belief networks is a NPC problem.

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