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Dynamic planning in hierarchical active inference
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions.
Hierarchical hybrid modeling for flexible tool use
In a recent computational framework called active inference, discrete models can be linked to their continuous counterparts to perform decision-making in changing environments.
Neural representation in active inference: using generative models to interact with -- and understand -- the lived world
This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function.
Modeling motor control in continuous-time Active Inference: a survey
This article provides a technical illustration of Active Inference models in continuous time and a brief survey of Active Inference models that solve four kinds of control problems; namely, the control of goal-directed reaching movements, active sensing, the resolution of multisensory conflict during movement and the integration of decision-making and motor control.
