LATIDIA · Investigación

Impulsar modelos epidémicos con agentes de IA: el marco de agentes de Epydemix

arXiv: 2609.28692v1Tipo de anuncio: nuevo Resumen: Los agentes de inteligencia artificial basados en modelos de lenguaje grandes proporcionan interfaces de lenguaje natural convenientes para el software científico, pero la confiabilidad no es automática. Aquí

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arXiv:2609.28692v1 Announce Type: new Abstract: 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 compartmental epidemic modeling. The framework extends the library with four capabilities to facilitate interaction with an AI agent: discovery of available models and parameters, preventive validation of a declarative scenario specification, execution through tested library code, and inspectability of results. These capabilities let an agent handle the entire modeling process, from the natural-language description of the scenario to quantitative results, figures, and interpretation of findings without