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
no code implementations • 25 Mar 2021 • Domenico Maisto, Francesco Gregoretti, Karl Friston, Giovanni Pezzulo
Here, we introduce a novel method to plan in POMDPs--Active Inference Tree Search (AcT)--that combines the normative character and biological realism of a leading planning theory in neuroscience (Active Inference) and the scalability of tree search methods in AI.
no code implementations • 22 Dec 2021 • Nicola Catenacci Volpi, Martin Greaves, Dari Trendafilov, Christoph Salge, Giovanni Pezzulo, Daniel Polani
The mastery of skills such as playing tennis or balancing an inverted pendulum implies a very accurate control of movements to achieve the task goals.
no code implementations • 22 Aug 2022 • Miguel Ibáñez-Berganza, Carlo Lucibello, Luca Mariani, Giovanni Pezzulo
Processing faces accurately and efficiently is a key capability of humans and other animals that engage in sophisticated social tasks.
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 • 14 Jan 2023 • Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo
Therefore, in this paper, we clarify the definitions, relationships, and status of current research on these topics, as well as missing pieces of world models and predictive coding in conjunction with crucially related concepts such as the free-energy principle and active inference in the context of cognitive and developmental robotics.
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 • 16 Aug 2023 • Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo
Living organisms need to acquire both cognitive maps for learning the structure of the world and planning mechanisms able to deal with the challenges of navigating ambiguous environments.
no code implementations • 22 Aug 2023 • Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo
Through a series of simulations, we demonstrate that the model's dual layers acquire effective cognitive maps for navigation within physical (HC map) and task (mPFC map) spaces, using a biologically-inspired approach: a clone-structured cognitive graph.
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.
no code implementations • 23 Oct 2023 • Giovanni Pezzulo, Leo D'Amato, Francesco Mannella, Matteo Priorelli, Toon Van de Maele, Ivilin Peev Stoianov, Karl Friston
This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function.
no code implementations • 23 Nov 2023 • Francesco Mannella, Giovanni Pezzulo
We propose a novel framework that casts TI as a probabilistic preference learning task, using one-parameter Mallows models.