Manuel Baltieri
Research programme
Agents across fields
Selected work
Maths
Mathematical approaches to the study of agents
With Keisuke Suzuki, a review of mathematical approaches to studying agents across research fields.
Cognition
Disentangled representations for causal cognition
Relating causal representation learning to how natural and artificial agents acquire causal knowledge.
(A)Life
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems
A synthesis of biological, artificial, and cognitive perspectives on life and the formal languages that can connect them.
AI safety
Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning
Work on compositional behavioural semantics and state abstraction in reinforcement learning.
Latest news (more)
Presentation at the Italian Embassy in Japan
The Association of Italian Research in Japan (AIRJ) Symposium 2025: Building Trustworthy AI and Advancing Collaboration Between Italy and Japan Continue reading Presentation at the Italian Embassy in Japan
Talk at Models of Consciousness
The Association for Mathematical Consciousness Science (AMCS) is an international association of scientists and philosophers devoted to mathematical topics in the scientific study of consciousness. Continue reading Talk at Models of Consciousness
Awarded a grant by ARIA - Mathematics for Safe AI
The Advanced Research and Innovation Agency (ARIA) is a research funding agency of the UK government, sponsored by the Department for Science, Innovation and Technology. Continue reading Awarded a grant by ARIA - Mathematics for Safe AI
Seminar at Unified theory of prediction and action meeting
The fifth research area meeting of Transformative Research Area (A): Unified theory of prediction and action Continue reading Seminar at Unified theory of prediction and action meeting
Current projects (more)
Combining Physical and Intentional Stance for Safe AI
ARIA-funded work connecting physical dynamics with intentional descriptions of beliefs and goals to support verifiable, safer AI. Continue reading Combining Physical and Intentional Stance for Safe AI
A Bayesian Interpretation of the Internal Model Principle
How do we connect “internal models” in control to “Bayesian models” in cognitive science? Continue reading A Bayesian Interpretation of the Internal Model Principle