Estefany Carrillo
Papers
1
Total Citations
10
H-Index
1
About
Estefany Carrillo is a researcher focused on the intersection of artificial intelligence, multiagent systems, and metareasoning. Her work addresses the critical challenge of enabling autonomous agents to reason about their own reasoning processes—a field known as metareasoning—to improve decision-making in complex, dynamic environments. Her most-cited paper, "Metareasoning Structures, Problems, and Modes for Multiagent Systems: A Survey" (2020), provides a comprehensive taxonomy of metareasoning approaches, categorizing structures, problems, and operational modes for multiagent systems. This survey has garnered 10 citations and serves as a foundational reference for researchers designing intelligent, self-aware multiagent teams. Carrillo’s contributions are particularly relevant to domains like agriculture, search and rescue, and fire protection, where multiple agents must coordinate efficiently under uncertainty. By systematically mapping the landscape of metareasoning, she has helped clarify how agents can allocate computational resources, manage trade-offs between deliberation and action, and adapt to unforeseen challenges. Her work stands out for its clarity and practical orientation, offering a roadmap for future advancements in autonomous systems that require robust, real-time reasoning.
Research Focus
Key Achievements
Top Papers
- 1