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07/27/2023
Collective behavior from surprise minimization
Collective motion is ubiquitous in nature; groups of animals, such as fi...
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07/02/2023
On efficient computation in active inference
Despite being recognized as neurobiologically plausible, active inferenc...
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12/09/2022
The entropy production of stationary diffusions
The entropy production rate is a central quantity in non-equilibrium sta...
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07/25/2022
Modelling non-reinforced preferences using selective attention
How can artificial agents learn non-reinforced preferences to continuous...
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03/20/2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
In this chapter, we identify fundamental geometric structures that under...
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11/22/2021
Branching Time Active Inference: the theory and its generality
Over the last 10 to 15 years, active inference has helped to explain var...
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09/21/2021
Active inference, Bayesian optimal design, and expected utility
Active inference, a corollary of the free energy principle, is a formal ...
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07/12/2021
Bayesian brains and the Rényi divergence
Under the Bayesian brain hypothesis, behavioural variations can be attri...
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09/17/2020
The relationship between dynamic programming and active inference: the discrete, finite-horizon case
Active inference is a normative framework for generating behaviour based...
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06/07/2020