Tag: 2023

The paper discusses a system combining world models and curiosity-driven exploration for autonomous navigation in unknown environments. It showcases e…

The paper presents a path integral formulation of the free energy principle, detailing how particles evolve through time. It introduces a variational …

The article presents a hierarchical active inference model that integrates cognitive maps for navigation and task performance, focusing on the hippoca…

The paper discusses the limitations of traditional AI methods, particularly deep neural networks. It proposes predictive coding, a neuroscience-inspir…

The study proposes a hybrid predictive coding model that integrates both amortized and iterative inference to enhance perceptual beliefs through neura…

The article presents a categorical approach to Predictive Processing and Active Inference using string diagrams within a monoidal category. It include…

The study explores collective motion in animals, proposing a model based on active inference, where behavior aims to minimize surprise. This approach …