Discussion of the 2022 preprint “pymdp: A Python library for active inference in discrete state spaces” by Conor Heins & Daphne Demekas. https://arxiv.org/abs/2201.03904 https://pymdp-rtd.readthedocs.io/en/latest/ Session 007.1, November 15, 2022 https://www.youtube.com/watch?v=99xQbWozPj
Discussion of the 2020 paper by Franz Kuchling, Karl Friston, Georgi Georgiev, and Michael Levin, “M...
The flow chart on the right shows the sequence of updates occurring over a single trial consisting o...
The free energy principle (FEP) offers a variational calculus-based description for how biological a...
Active inference is an account of cognition and behavior in complex systems which brings together ac...
Active Inference Institute 2022 Quarterly Roundtable 3 September 28, 2022 https://www.youtube.com/...
Transcript of Active Inference Lab (now Active Inference Institute) Quarterly Roundtable 1, March 2,...
Summary:Biological models contain many parameters whose values are difficult to measure directly via...
Discussions of the Dec. 2020 paper “Extended active inference: Constructing predictive cognition bey...
Active Inference Lab 2021 Quarterly Roundtable 4 Quarterly Roundtable 4, November 2, 2021 https://...
Discussion of the 2021 paper by "Robot navigation as hierarchical active inference" by Ozan Çatal, T...
Active inference is a process theory arising from neuroscience which casts perception, action, plann...
The free energy principle (FEP) offers a variational calculus-based description for how biological a...
Transcript from livestream on July 25, 2023 at the Active Inference Institute. YouTube watch link: ...
Transcript of: Active Inference GuestStream 046.1 ~ Denise Holt, "Active Inference AI & the Spatial ...
In several real-world scenarios, decision making involves advanced reasoning under uncertainty, i.e....
Discussion of the 2020 paper by Franz Kuchling, Karl Friston, Georgi Georgiev, and Michael Levin, “M...
The flow chart on the right shows the sequence of updates occurring over a single trial consisting o...
The free energy principle (FEP) offers a variational calculus-based description for how biological a...
Active inference is an account of cognition and behavior in complex systems which brings together ac...
Active Inference Institute 2022 Quarterly Roundtable 3 September 28, 2022 https://www.youtube.com/...
Transcript of Active Inference Lab (now Active Inference Institute) Quarterly Roundtable 1, March 2,...
Summary:Biological models contain many parameters whose values are difficult to measure directly via...
Discussions of the Dec. 2020 paper “Extended active inference: Constructing predictive cognition bey...
Active Inference Lab 2021 Quarterly Roundtable 4 Quarterly Roundtable 4, November 2, 2021 https://...
Discussion of the 2021 paper by "Robot navigation as hierarchical active inference" by Ozan Çatal, T...
Active inference is a process theory arising from neuroscience which casts perception, action, plann...
The free energy principle (FEP) offers a variational calculus-based description for how biological a...
Transcript from livestream on July 25, 2023 at the Active Inference Institute. YouTube watch link: ...
Transcript of: Active Inference GuestStream 046.1 ~ Denise Holt, "Active Inference AI & the Spatial ...
In several real-world scenarios, decision making involves advanced reasoning under uncertainty, i.e....
Discussion of the 2020 paper by Franz Kuchling, Karl Friston, Georgi Georgiev, and Michael Levin, “M...
The flow chart on the right shows the sequence of updates occurring over a single trial consisting o...
The free energy principle (FEP) offers a variational calculus-based description for how biological a...
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