[HTML][HTML] The free energy principle made simpler but not too simple
This paper provides a concise description of the free energy principle, starting from a
formulation of random dynamical systems in terms of a Langevin equation and ending with a …
formulation of random dynamical systems in terms of a Langevin equation and ending with a …
World models and predictive coding for cognitive and developmental robotics: Frontiers and challenges
Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
[图书][B] Active inference: the free energy principle in mind, brain, and behavior
The first comprehensive treatment of active inference, an integrative perspective on brain,
cognition, and behavior used across multiple disciplines. Active inference is a way of …
cognition, and behavior used across multiple disciplines. Active inference is a way of …
Active inference in robotics and artificial agents: Survey and challenges
Active inference is a mathematical framework which originated in computational
neuroscience as a theory of how the brain implements action, perception and learning …
neuroscience as a theory of how the brain implements action, perception and learning …
The free energy principle for perception and action: A deep learning perspective
The free energy principle, and its corollary active inference, constitute a bio-inspired theory
that assumes biological agents act to remain in a restricted set of preferred states of the …
that assumes biological agents act to remain in a restricted set of preferred states of the …
On the relationship between active inference and control as inference
Active Inference (AIF) is an emerging framework in the brain sciences which suggests that
biological agents act to minimise a variational bound on model evidence. Control-as …
biological agents act to minimise a variational bound on model evidence. Control-as …
pymdp: A Python library for active inference in discrete state spaces
Active inference is an account of cognition and behavior in complex systems which brings
together action, perception, and learning under the theoretical mantle of Bayesian inference …
together action, perception, and learning under the theoretical mantle of Bayesian inference …
Application and planning of an energy-oriented stochastic disassembly line balancing problem
X Zhang, H Zhou, C Fu, M Mi, C Zhan, DT Pham… - … Science and Pollution …, 2023 - Springer
Abstract End-of-life (EOL) products are getting more and more attention as a result of the
rapid decline in environmental resources and the dramatic rise in population at the moment …
rapid decline in environmental resources and the dramatic rise in population at the moment …
How active inference could help revolutionise robotics
Recent advances in neuroscience have characterised brain function using mathematical
formalisms and first principles that may be usefully applied elsewhere. In this paper, we …
formalisms and first principles that may be usefully applied elsewhere. In this paper, we …
[HTML][HTML] On efficient computation in active inference
Biological agents demonstrate a remarkable proficiency in calibrating appropriate scales of
planning and evaluation when interacting with their environments. It follows logically that …
planning and evaluation when interacting with their environments. It follows logically that …