Search Results for author: Brennan Klein

Found 4 papers, 4 papers with code

pymdp: A Python library for active inference in discrete state spaces

1 code implementation11 Jan 2022 Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl Friston, Iain Couzin, Alexander Tschantz

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.

Bayesian Inference

Network comparison and the within-ensemble graph distance

2 code implementations6 Aug 2020 Harrison Hartle, Brennan Klein, Stefan McCabe, Alexander Daniels, Guillaume St-Onge, Charles Murphy, Laurent Hébert-Dufresne

Quantifying the differences between networks is a challenging and ever-present problem in network science.

Physics and Society Social and Information Networks

Uncertainty and causal emergence in complex networks

2 code implementations8 Jul 2019 Brennan Klein, Erik Hoel

The connectivity of a network conveys information about the dependencies between nodes.

Physics and Society Social and Information Networks

Optimal design of experiments to identify latent behavioral types

2 code implementations10 Jul 2018 Stefano Balietti, Brennan Klein, Christoph Riedl

We apply our procedure to a game of imperfect information to evaluate and quantify the computational improvements.

Decision Making Experimental Design +1

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