mlsanityData to 7 Oct 2026

Towards a Science Exocortex

arXiv 2406.17809 ↗First posted 24 Jun 2024cs.AIcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 87 of its 196 references that are in the map. First posted on arXiv 24 Jun 2024.

Builds on

87 of 196 references.

References · 87

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38 more
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50 most cited of 87 All 87 (JSON)

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Cited by year

Citing papers per year: 2024: 1; 2025: 2.

3 papers.

  1. 2024VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilitiescited by 10
  2. 2025A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyondcited by 6
  3. 2025Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Researchcited by 2

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