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Contextual Reasoning in Human Cognition and the Implications for Artificial Intelligence Systems

机译:人类认知中的情境推理及其对人工智能系统的启示

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It has been widely known that reasoning with and about context is an essential aspect of human cognition, permeating language, memory, and reasoning capabilities. This integral process is developed over a lifetime through experiential learning. Given that one goal of artificial intelligence has been to create human-like intelligence in a machine, it is essential to include such contextual considerations in system design and implementation. This paper extends the discussion about contextual reasoning in humans and how modeling it in a computer program can help to get closer to the ultimate intelligent machine.
机译:众所周知,根据上下文进行推理是人类认知,渗透语言,记忆和推理能力的重要方面。这个整体过程是一生通过经验学习而形成的。鉴于人工智能的一个目标是在机器中创建类人的智能,因此必须将此类上下文考虑因素纳入系统设计和实现中。本文扩展了有关人类中上下文推理的讨论,以及如何在计算机程序中对其进行建模可以帮助其更接近最终的智能机器的讨论。

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