Agentic Discovery: Closing the Loop with Cooperative Agents

• URL: http://arxiv.org/abs/2510.13081v1
• Date: Wed, 15 Oct 2025 01:50:41 GMT
• Title: Agentic Discovery: Closing the Loop with Cooperative Agents
• Authors: J. Gregory Pauloski, Kyle Chard, Ian T. Foster,
• Abstract summary: We see the rate of discovery increasingly limited by human decision-making tasks.<n>We postulate that cooperative agents are needed to augment the role of humans and enable autonomous discovery.
• Score: 7.618433247743826
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: As data-driven methods, artificial intelligence (AI), and automated workflows accelerate scientific tasks, we see the rate of discovery increasingly limited by human decision-making tasks such as setting objectives, generating hypotheses, and designing experiments. We postulate that cooperative agents are needed to augment the role of humans and enable autonomous discovery. Realizing such agents will require progress in both AI and infrastructure.

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