arXiv (All)
open access
Driving Epidemic Models with AI Agents: the Epydemix Agent Framework
Artificial Intelligence agents based on large language models provide convenient natural language interfaces to scientific software, but reliability is not automatic. Here we introduce the Epydemix Agent Framework, an additive layer over Epydemix, an open-source Python library for stochastic compart
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Verication-driven closed-loop multi-agent large language modelframework for code-compliant structural design#441888
- AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments#343517
- Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems#798816
- Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems#797402
- From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems#432541
Record · ID 1076348
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive