Distinguished Seminar Series on Data Science & Artificial Intelligence - Active Inference for Distributed Intelligence in the Computing Continuum

Modern distributed systems must operate under uncertainty, across environments, infrastructures, and applications that vary widely. Within the Computing Continuum (IoT–Edge–Fog–Cloud), applying neuroscience-inspired principles and mechanisms may help us build more flexible solutions that can generalize across diverse settings. Intriguing hypotheses in neuroscience propose that many brain functions in humans and animals arise from a small number of powerful principles. If these hypotheses hold, they could offer deep insight into how humans and animals cope with unpredictable events, and even support imagination. In this talk, we explore how Active Inference, alongside established design principles for modern distributed systems, such as elasticity, predictive equilibrium, and antifragility, can enable Distributed Intelligence across the Computing Continuum.