Mahault Albarracin

Papers

1

Total Citations

1

H-Index

1

About

Mahault Albarracin is a researcher at the forefront of computational cognitive science and artificial intelligence, with a primary focus on active inference, agency, and environmental sustainability. Her work bridges theoretical frameworks from neuroscience and AI to develop intelligent systems that can operate autonomously while respecting ecological constraints. Her most notable contribution is the development of "agentic rulebooks using active inference," a novel AI framework designed to optimize decision-making for environmental sustainability. This work, published in 2025, addresses the critical duality of AI's potential to both solve and exacerbate environmental challenges, offering a principled approach to designing agents that balance resource efficiency with ethical considerations. While her citation count is still growing—reflecting the recent nature of her contributions—her research is gaining traction in interdisciplinary circles, particularly among scholars interested in the intersection of AI ethics, sustainability, and cognitive modeling. Albarracin's work is notable for its ambition to embed normative constraints directly into AI architectures, moving beyond purely utilitarian optimization. She represents a new generation of researchers committed to ensuring that advances in artificial intelligence are aligned with long-term planetary health.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Agentic rulebooks using active inference: an artificial intelligence application for environmental sustainability
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago