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Where Artificial Intelligence and Neuroscience Meet: The Search for Grounded Architectures of Cognition

机译:人工智能和神经科学的交汇之处:寻求扎实的认知架构

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The collaboration between artificial intelligence and neuroscience can produce an understanding of the mechanisms in the brain that generate human cognition. This article reviews multidisciplinary research lines that could achieve this understanding. Artificial intelligence has an important role to play in research, because artificial intelligence focuses on the mechanisms that generate intelligence and cognition. Artificial intelligence can also benefit from studying the neural mechanisms of cognition, because this research can reveal important information about the nature of intelligence and cognition itself. I will illustrate this aspect by discussing the grounded nature of human cognition. Human cognition is perhaps unique because it combines grounded representations with computational productivity. I will illustrate that this combination requires specific neural architectures. Investigating and simulating these architectures can reveal how they are instantiated in the brain. The way these architectures implement cognitive processes could also provide answers to fundamental problems facing the study of cognition.
机译:人工智能和神经科学之间的合作可以使人们理解大脑中产生人类认知的机制。本文回顾了可以实现这种理解的多学科研究领域。人工智能在研究中起着重要作用,因为人工智能侧重于产生智力和认知的机制。人工智能还可以从研究认知的神经机制中受益,因为这项研究可以揭示有关智力和认知本身性质的重要信息。我将通过讨论人类认知的本质来说明这一方面。人类的认知也许是独特的,因为它结合了扎实的表示和计算效率。我将说明这种组合需要特定的神经体系结构。研究和仿真这些架构可以揭示它们如何在大脑中实例化。这些架构实现认知过程的方式也可以为认知研究所面临的基本问题提供答案。

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