Zobrazeno 1 - 10
of 826
pro vyhledávání: '"Pezzulo, Giovanni"'
Foraging is a crucial activity, yet the extent to which humans employ flexible versus rigid strategies remains unclear. This study investigates how individuals adapt their foraging strategies in response to resource distribution and foraging time con
Externí odkaz:
http://arxiv.org/abs/2408.01350
Living organisms rely on internal models of the world to act adaptively. These models cannot encode every detail and hence need to compress information. From a cognitive standpoint, information compression can manifest as a distortion of latent repre
Externí odkaz:
http://arxiv.org/abs/2406.07269
Autor:
Mannella, Francesco, Pezzulo, Giovanni
Transitive Inference (TI) is a cognitive task that assesses an organism's ability to infer novel relations between items based on previously acquired knowledge. TI is known for exhibiting various behavioral and neural signatures, such as the Serial P
Externí odkaz:
http://arxiv.org/abs/2311.13874
Autor:
Pezzulo, Giovanni, D'Amato, Leo, Mannella, Francesco, Priorelli, Matteo, Van de Maele, Toon, Stoianov, Ivilin Peev, Friston, Karl
This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function. It delves into how living organisms employ generative models to minimize the discrepancy between predictions and
Externí odkaz:
http://arxiv.org/abs/2310.14810
Autor:
Priorelli, Matteo, Maggiore, Federico, Maselli, Antonella, Donnarumma, Francesco, Maisto, Domenico, Mannella, Francesco, Stoianov, Ivilin Peev, Pezzulo, Giovanni
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems 2024
The way the brain selects and controls actions is still widely debated. Mainstream approaches based on Optimal Control focus on stimulus-response mappings that optimize cost functions. Ideomotor theory and cybernetics propose a different perspective:
Externí odkaz:
http://arxiv.org/abs/2310.05144
Cognitive problem-solving benefits from cognitive maps aiding navigation and planning. Previous studies revealed that cognitive maps for physical space navigation involve hippocampal (HC) allocentric codes, while cognitive maps for abstract task spac
Externí odkaz:
http://arxiv.org/abs/2308.11463
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. Although significant progress has been made in each of these a
Externí odkaz:
http://arxiv.org/abs/2308.08307
We present a novel computational model employing hierarchical active inference to simulate reading and eye movements. The model characterizes linguistic processing as inference over a hierarchical generative model, facilitating predictions and infere
Externí odkaz:
http://arxiv.org/abs/2308.04941
Autor:
Taniguchi, Tadahiro, Murata, Shingo, Suzuki, Masahiro, Ognibene, Dimitri, Lanillos, Pablo, Ugur, Emre, Jamone, Lorenzo, Nakamura, Tomoaki, Ciria, Alejandra, Lara, Bruno, Pezzulo, Giovanni
Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously is the ultimate achievement envisioned in cognitive and developmental robotics. Their learning processes should be based on interact
Externí odkaz:
http://arxiv.org/abs/2301.05832
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems Volume: 54, Issue: 2, February 2024
We advance a novel computational model of multi-agent, cooperative joint actions that is grounded in the cognitive framework of active inference. The model assumes that to solve a joint task, such as pressing together a red or blue button, two (or mo
Externí odkaz:
http://arxiv.org/abs/2210.13113