Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments

1 code implementation • 21 Feb 2022 • Takazumi Matsumoto, Wataru Ohata, Fabien C. Y. Benureau, Jun Tani

We show that goal-directed action planning and generation in a teleological framework can be formulated using the free energy principle.

Active Inference in Robotics and Artificial Agents: Survey and Challenges

no code implementations • 3 Dec 2021 • Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani

Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning.

Bayesian Inference

Emergence of sensory attenuation based upon the free-energy principle

1 code implementation • 4 Nov 2021 • Hayato Idei, Wataru Ohata, Yuichi Yamashita, Tetsuya OGATA, Jun Tani

Consequently, shifts between the two sensorimotor contexts triggered transitions from one free-energy state to another in the network via executive control, which caused shifts between attenuating and amplifying prediction-error-induced responses in the sensory areas.