2 citations · 2 across the 2 of their papers we have counts for
4 papers
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…
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…
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…