Samuel Langlois
Papers
1
Total Citations
10
H-Index
1
About
Samuel Langlois is a researcher at the forefront of multiagent systems and autonomous decision-making, with a particular focus on the emerging field of metareasoning. His work addresses the fundamental challenge of how intelligent agents can reason about their own reasoning processes—a critical capability for robust, adaptive multiagent teams operating in complex, real-world domains like agriculture, search and rescue, and disaster response. Langlois’s highly cited survey, “Metareasoning Structures, Problems, and Modes for Multiagent Systems” (2020), provides a foundational taxonomy that has shaped subsequent research in the field, clarifying how agents can allocate computational resources, manage uncertainty, and coordinate effectively under dynamic conditions. His contributions are essential for scaling autonomous systems beyond simple, controlled environments into the messy, unpredictable settings where human lives and critical infrastructure are at stake. With a growing citation impact, Langlois is establishing himself as a key voice in the next generation of AI systems that must not only act intelligently but also think about how they think.
Research Focus
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Top Papers
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