*1st International Workshop on Active Inference IWAI2020* In conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020)
14 September 2020 Virtual - send me an email if you would like to participate. Website: https://iwaiworkshop.github.io/ (you can find the pre-recorded presentations and the papers) Schedule: https://whova.com/embedded/session/ecmlp_202009/1215095/?view Invited speakers - Philipp Schwartenbeck - Active Learning and Active Inference in Exploration - Sindy Löwe - Putting An End to End-to-End: Gradient-Isolated Learning of Representations - Rosalyn Moran - The Free Energy Principle and Active Inference in silico and in vivo, visual sampling and 'world model' building Accepted presentations - On the relationship between active inference and control as inference Beren Millidge, Alexander Tschantz, Anil Seth and Christopher L. Buckley - Active Inference or Control as Inference? A Unifying View Abraham Imohiosen, Joe Watson and Jan Peters - Deep active inference for Partially Observable MDPs Otto van der Himst and Pablo Lanillos - You Only Look... as much as you have to: Using the Free Energy Principle for Active Vision Toon Van de Maele, Tim Verbelen, Ozan Catal, Cedric De Boom and Bart Dhoedt - A deep active inference model of the rubber-hand illusion Thomas Rood, Marcel van Gerven and Pablo Lanillos - Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults Corrado Pezzato, Mohamed Baioumy, Carlos Hernandez Corbato, Nick Hawes, Martijn Wisse and Riccardo Ferrari - Sleep: Model Reduction in Deep Active Inference Samuel Wauthier, Ozan Catal, Cedric De Boom, Tim Verbelen and Bart Dhoedt - Confirmatory evidence that healthy individuals can adaptively adjust prior expectations and interoceptive precision estimates Ryan Smith, Rayus Kuplicki, Adam Teed, Valerie Upshaw and Sahib S. Khalsa - Visual search as active inference Emmanuel Daucé and Laurent Perrinet. - Integrated World Modeling Theory (IWMT): Towards understanding consciousness by using the Free Energy Principle and Active Inference (FEP-AI) framework to combine Integrated Information Theory (IIT) and Global Neuronal Workspace Theory (GNWT) Adam Safron - Modulation of viability signals for self-regulatory control Alvaro Ovalle and Simon Lucas - A Worked Example of Fokker-Planck based Active Inference Magnus T. Koudahl and Bert de Vries - Bayesian hyperparameter dynamics in a Markov chain Martin Biehl and Ryota Kanai Accepted posters Online system identification in a Duffing oscillator by free energy minimisation Wouter Kouw Causal blankets: Theory and algorithmic framework Fernando E. Rosas, Pedro A.M. Mediano, Martin Biehl, Shamil Chandaria and Daniel Polani Sophisticated Affective Inference: Simulating Affective Dynamics Induced by Imagined Future Events Casper Hesp, Alexander Tschantz, Beren Millidge, Maxwell Ramstead and Ryan Smith Learning Where to Park Burak Ergul, Thijs van de Laar, Magnus Koudahl, Martin Roa Villescas and Bert de Vries End-Effect Exploration Drive for Effective Motor Learning Emmanuel Daucé. Hierarchical Gaussian filtering of sufficient statistic time series for active inference Christoph Mathys and Lilian A.E. Weber --- Dr. Pablo Lanillos www.therobotdecision.com | www.selfception.eu Assistant professor in Cognitive Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour, the Netherlands p.lanillos @ donders.ru.nl
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