Towards a science exocortex

IF 6.2 Q1 CHEMISTRY, MULTIDISCIPLINARY
Kevin G. Yager
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引用次数: 0

Abstract

Artificial intelligence (AI) methods are poised to revolutionize intellectual work, with generative AI enabling automation of text analysis, text generation, and simple decision making or reasoning. The impact to science is only just beginning, but the opportunity is significant since scientific research relies fundamentally on extended chains of cognitive work. Here, we review the state of the art in agentic AI systems, and discuss how these methods could be extended to have even greater impact on science. We propose the development of an exocortex, a synthetic extension of a person's cognition. A science exocortex could be designed as a swarm of AI agents, with each agent individually streamlining specific researcher tasks, and whose inter-communication leads to emergent behavior that greatly extend the researcher's cognition and volition.

Abstract Image

Abstract Image

建立科学外旋涡
人工智能(AI)方法有望彻底改变智力工作,生成式人工智能可实现文本分析、文本生成和简单决策或推理的自动化。它对科学的影响才刚刚开始,但机遇巨大,因为科学研究从根本上依赖于认知工作的扩展链。在此,我们回顾了代理人工智能系统的技术现状,并讨论了如何扩展这些方法以对科学产生更大的影响。我们建议开发一种外核,即人的认知的合成扩展。科学外脑可以被设计成一个人工智能代理群,每个代理都可以单独简化研究人员的特定任务,它们之间的相互通信会产生新的行为,从而极大地扩展研究人员的认知和意志。
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CiteScore
2.80
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0.00%
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