1 citations · 1 across the 3 of their papers we have counts for
4 papers
Multi-Modal and Multi-Factor Branching Time Active Inference
Théophile Champion, Marek Grześ, Howard Bowman
Active inference is a state-of-the-art framework for modelling the brain that explains a wide range of mechanisms such as habit formation, dopaminergic discharge and curiosity. Rec…
Branching Time Active Inference with Bayesian Filtering
Théophile Champion, Marek Grześ, Howard Bowman
Branching Time Active Inference (Champion et al., 2021b,a) is a framework proposing to look at planning as a form of Bayesian model expansion. Its root can be found in Active Infer…
Branching Time Active Inference: empirical study and complexity class analysis
Théophile Champion, Howard Bowman, Marek Grześ
Active inference is a state-of-the-art framework for modelling the brain that explains a wide range of mechanisms such as habit formation, dopaminergic discharge and curiosity. How…
Branching Time Active Inference: the theory and its generality
Théophile Champion, Lancelot Da Costa, Howard Bowman +1
Over the last 10 to 15 years, active inference has helped to explain various brain mechanisms from habit formation to dopaminergic discharge and even modelling curiosity. However,…