👉 Predictive Processing Computing (PPC) is an advanced computational paradigm that draws inspiration from predictive processing theory, which posits that the brain continuously generates and updates predictions about incoming sensory data to minimize prediction errors. In PPC, this concept is applied to computational systems, where models are designed to predict future states of the environment or data streams, allowing them to adapt and learn more efficiently. These systems use predictive models to anticipate changes, filter out noise, and optimize decision-making processes. By doing so, PPC enables more robust and adaptive artificial intelligence systems that can operate effectively in dynamic and uncertain environments, much like the human brain. This approach is particularly useful in areas such as robotics, autonomous systems, and real-time data analysis where adaptability and predictive accuracy are crucial.
