From Static Answers to Dynamic Belief Updating Artificial intelligence is increasingly evaluated through its ability to produce correct answers, solve problems and operate across a growing range of tasks. More recently, however, these systems have begun to evolve into agents capable of planning, interacting and adapting to dynamic environments. This transition, from static output generation … Continue reading The Bayesian Imperative for Agentic AI