Disentangled Representations for Causal Cognition, Torresan, F. & Baltieri, M., Physics of Life Reviews (2024). [link][pdf][preprint]
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems. Baltieri, M., Iizuka, H., Witkowski, O., Sinapayen, L., & Suzuki, K., WIREs Cognitive Science (2023). [link][pdf][preprint]
The Emperor is Naked: Replies to the commentaries on the target article., Bruineberg, J., Dolega, K., Dewhurst, J., & Baltieri, M., Behavioral and Brain Science (2022). [link][pdf]
The Emperor’s New Markov Blankets, Bruineberg, J., Dolega, K., Dewhurst, J., & Baltieri, M., Behavioral and Brain Science (2021). [link][pdf][preprint - 2020]
Active inference through whiskers, Mannella, F., Maggiore, F., Baltieri, M., & Pezzulo, G. Neural Networks (2021). [link][preprint]
Embodied Skillful Performance: Where the Action Is, Hipolito, I., Baltieri, M., Friston, K. J., & Ramstead, M. J., Synthese (2021). [link][preprint]
PID control as a process of active inference with linear generative models, Baltieri, M., & Buckley, C. L., Entropy 21 (3), 257 (2019). [link]
Preprints
Kalman filters as the steady-state solution of gradient descent on variational free energy, Baltieri, M., & Isomura, T., arXiv pre-print arXiv:2111.10530 (2021). [preprint]
On Kalman-Bucy filters, linear quadratic control and active inference, Baltieri, M., & Buckley, C. L., arXiv pre-print arXiv:2005.06269 (2020). [preprint]
A minimal active inference agent, McGregor, S., Baltieri, M., & Buckley, C. L., arXiv pre-print arXiv:1503.04187 (2015). [preprint]
Conference proceedings
Predictions in the eye of the beholder: an active inference implementation of the Watt governor, Baltieri, M., Buckley, C. L., & Bruineberg, J., Artificial Life Conference, 2020. [link][preprint]
A Bayesian perspective on classical control, Baltieri, M., 2020 International Joint Conference on Neural Networks (IJCNN), 2020. [link][preprint]
Scaling active inference, Tschantz, A., Baltieri, M., Seth, A. K. & Buckley, C. L., 2020 International Joint Conference on Neural Networks (IJCNN), 2020. [link][preprint]
Active Inference: Computational Models of Motor Control without Efference Copy, Baltieri, M., & Buckley, C. L., Cognitive Computational Neuroscience Conference, 2019. [link]
The dark room problem in predictive processing and active inference, a legacy of cognitivism?, Baltieri, M., & Buckley, C. L., Artificial Life Conference, 2019. [link][preprint]
Nonmodular architectures of cognitive systems based on active inference, Baltieri, M., & Buckley, C. L., 2019 International Joint Conference on Neural Networks (IJCNN) (2019). [link][preprint]
A probabilistic interpretation of PID control, Baltieri, M., & Buckley, C. L., Simulation of Adaptive Behavior Conference, 2018. [link][preprint]
The modularity of action and perception revisited using control theory and active inference, Baltieri, M., & Buckley, C. L., Artificial Life Conference, 2018. [link][preprint]
An active inference implementation of phototaxis, Baltieri, M., & Buckley, C. L., European Conference on Artificial Life, 2017. [link][preprint]
Commentaries
Generative models as parsimonious descriptions of sensorimotor loops, Baltieri, M., & Buckley, C. L., Behavioral and Brain Sciences 42, 218 (2019) (Target article: Is coding a relevant metaphor for the brain?, Brette, R., Behavioral and Brain Sciences 42, 218 (2019)). [link][preprint]
Other publications
Thinking about robots, Baltieri, M., A contributed chapter to Robot 100 (2021)[Robot 100]
