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Language Augmented Prediction

机译:语言增强预测

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Clark's (in press) article makes a strong argument that prediction or reduction of “surprisal” comprises a synthesizing principle in understanding neural mechanisms. But if brains – all brains – are “essentially prediction machines,” how do we account for the apparently qualitative differences between humans and non-human animals in the ability to inspect and reflect on one's mental states, and to effectively foresee the consequences of various actions? For example, Spelke (2003) points out that although all animals find and recognize food, only humans developed the art and science of cooking. Although all animals have to understand (and predict!) the material world, only humans systematize their knowledge as science (p. 277). But we do not need to go into something as complex as formalized science to see the wide gap between human and non-human minds.
机译:克拉克(在文中)的文章提出了强有力的论点,即“意外”的预测或减少包括理解神经机制的综合原理。但是,如果大脑-所有的大脑-都是“本质上是预测机器”,那么我们如何在检查和反思自己的精神状态以及有效预见各种后果的能力上,说明人类和非人类动物之间明显的质的差异?行动?例如,Spelke(2003)指出,尽管所有动物都能找到并识别食物,但只有人类才能发展烹饪的艺术和科学。尽管所有动物都必须了解(并预测!)物质世界,但只有人类将其知识系统化为科学(第277页)。但是,我们不需要深入研究像形式化科学这样复杂的事物,就可以看到人类和非人类思想之间的巨大鸿沟。

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