no code implementations • 8 Oct 2023 • Matteo Priorelli, Federico Maggiore, Antonella Maselli, Francesco Donnarumma, Domenico Maisto, Francesco Mannella, Ivilin Peev Stoianov, Giovanni Pezzulo
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.
1 code implementation • 9 Aug 2023 • Francesco Donnarumma, Mirco Frosolone, Giovanni Pezzulo
We present a novel computational model employing hierarchical active inference to simulate reading and eye movements.
no code implementations • 24 Oct 2022 • Domenico Maisto, Francesco Donnarumma, Giovanni Pezzulo
These simulations illustrate that interactive inference supports successful multi-agent joint actions and reproduces key cognitive and behavioral dynamics of "leaderless" and "leader-follower" joint actions observed in human-human experiments.
no code implementations • 2 May 2020 • Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
In neural networks literature, there is a strong interest in identifying and defining activation functions which can improve neural network performance.
1 code implementation • 15 Apr 2020 • Francesco Donnarumma, Giovanni Pezzulo
The moral decisions we make during this period, such as deciding whether to comply with quarantine rules, have unprecedented societal effects.
Computers and Society Populations and Evolution