人工智能和神经科学在哪里相遇:寻找认知的基础架构

F. Velde
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引用次数: 16

摘要

人工智能和神经科学之间的合作可以产生对大脑中产生人类认知的机制的理解。本文回顾了能够实现这种理解的多学科研究方向。人工智能在研究中扮演着重要的角色,因为人工智能关注的是产生智能和认知的机制。人工智能也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关于智能本质和认知本身的重要信息。我将通过讨论人类认知的基础本质来说明这一点。人类的认知可能是独一无二的,因为它结合了基础表征和计算生产力。我将说明这种组合需要特定的神经结构。研究和模拟这些结构可以揭示它们是如何在大脑中实例化的。这些架构实现认知过程的方式也可以为认知研究面临的基本问题提供答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Where Artificial Intelligence and Neuroscience Meet: The Search for Grounded Architectures of Cognition
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.
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