Hacia sistemas inteligentes descentralizados: Evidencia bibliométrica sobre blockchain y agentes de inteligencia artificial
Resumen
La convergencia entre la tecnología blockchain y los agentes de inteligencia artificial constituye una de las fronteras más dinámicas de transformación digital contemporánea. Esta integración promete sistemas autónomos, descentralizados y verificables capaces de operar sin intermediarios en dominios como finanzas descentralizadas, cadenas de suministro inteligentes, gobernanza algorítmica y el Internet de las Cosas. El presente estudio tiene como objetivo mapear la producción científica sobre la intersección entre blockchain y agentes de Inteligencia Artificial a fin de identificar patrones de publicación, dinámicas de colaboración y criterios característicos del campo emergente. Se aplicó un enfoque bibliométrico sobre un corpus de 160 documentos publicados entre 2024 y 2025, recuperados de Scopus y Web of Science, procesados con el paquete Bibliometrix (R) y la herramienta VOSviewer. Los resultados muestran una tasa de crecimiento anual del 371,43%, fuerte concentración geográfica liderada por India, Reino Unido y Australia, elevada coautoría internacional (45,62%) y distribución de productividad consistente con la ley de Lotka. Asimismo, a partir del análisis de coocurrencia se proponen seis criterios característicos de la integración. Se concluye que el campo se encuentra en una fase fundacional de rápida expansión, dominada por contribuciones aplicadas y por una red de colaboración internacional aún en formación.
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