3 papers
cs.AI2025
Prior preferences in active inference agents: soft, hard, and goal shaping
Filippo Torresan, Ryota Kanai, Manuel Baltieri
Active inference proposes expected free energy as an objective for planning and decision-making to adequately balance exploitative and explorative drives in learning agents. The ex…
q-bio.NC2025
A coalgebraic perspective on predictive processing
Manuel Baltieri, Filippo Torresan, Tomoya Nakai
Predictive processing and active inference posit that the brain is a system performing Bayesian inference on the environment. By virtue of this, a prominent interpretation of predi…
cs.AI2025
Active inference for action-unaware agents
Filippo Torresan, Keisuke Suzuki, Ryota Kanai +1
Active inference is a formal approach to study cognition based on the notion that adaptive agents can be seen as engaging in a process of approximate Bayesian inference, via the mi…