Noor Sajid
3 books
About the Author
Noor Sajid is a pioneering researcher in the field of active inference, a computational framework that bridges artificial intelligence, neuroscience, and philosophy to model adaptive behavior in complex systems. With a background in cognitive science and machine learning, Sajid has made significant contributions to understanding how agents infer and act upon their environments, drawing from Bayesian principles and free energy minimization. As a key organizer and contributor to the International Workshop on Active Inference (IWAI), she has edited seminal volumes that compile cutting-edge research from global experts. Her work explores applications in robotics, mental health, and decision-making, advocating for interdisciplinary approaches to create more robust AI systems. Sajid's publications continue to shape the discourse on predictive processing and autonomous systems, inspiring advancements in both theory and practice.
Common genres
Writing style
rigorous
interdisciplinary
technical
