Dustdar, S. (2026). Active Inference for Distributed Intelligence in the Computing Continuum. In Book of Abstracts of the 5th International Conference and Summer School Numerical Computations: Theory and Algorithms (NUMTA 2026) (pp. 25–25).
Modern distributed systems deal with uncertain scenarios, where environments, infrastructures, and applications are widely diverse. In the scope of IoT-Edge-Fog-Cloud computing, leveraging neuroscienceinspired principles and mechanisms could aid in building more exible solutions able to generalize over di erent environments. A captivating set of hypotheses from the eld of neuroscience suggests that human and animal brain mechanisms result from a few powerful principles. If proved to be accurate, these assumptions could open a deep understanding of the way humans and animals manage to cope with the unpredictability of events and imagination. In this talk, we will explore how Active Inference mechanisms can be utilized for Distributed Intelligence in the Computing Continuum. This has considerable impact for all research related to IoT and AI in general.
