575 citations · 623 across the 9 of their papers we have counts for
9 papers
Cognitive behavior emerging in mechanical systems through reservoir encoding and active inference
Matteo Torzoni, Domenico Maisto, Andrea Manzoni +3
Mechanical systems are traditionally designed as passive assets, where sensing, analysis, and control are treated as decoupled and externally prescribed processes. Reliance on pred…
Multi-Agent Digital Twins for Strategic Decision-Making using Active Inference
Francesco Maria Mancinelli, Matteo Torzoni, Domenico Maisto +4
Active Inference is an emerging framework providing a quantitative account of behavioral processes in neuroscience and a principled approach to decision-making under uncertainty. I…
Active Digital Twins via Active Inference
Matteo Torzoni, Domenico Maisto, Andrea Manzoni +3
Digital twins are transforming engineering and applied sciences by enabling real-time monitoring, simulation, and predictive analysis of physical systems and processes. However, co…
A computational framework for integrating Predictive processes with evidence Accumulation Models (PAM)
Antonino Visalli, Francesco Maria Calistroni, Margherita Calderan +3
Evidence Accumulation Models (EAMs) have been widely used to investigate speeded decision-making processes, but they have largely neglected the role of predictive processes emphasi…
Modeling motor control in continuous-time Active Inference: a survey
Matteo Priorelli, Federico Maggiore, Antonella Maselli +5
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 functi…
Integrating large language models and active inference to understand eye movements in reading and dyslexia
Francesco Donnarumma, Mirco Frosolone, Giovanni Pezzulo
We present a novel computational model employing hierarchical active inference to simulate reading and eye movements. The model characterizes linguistic processing as inference ove…
Interactive inference: a multi-agent model of cooperative joint actions
Domenico Maisto, Francesco Donnarumma, Giovanni Pezzulo
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…
A survey on modern trainable activation functions
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò +1
In neural networks literature, there is a strong interest in identifying and defining activation functions which can improve neural network performance. In recent years there has b…
Moral decisions in the age of COVID-19: your choices really matter
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. We simulate the "escape from Milan" t…