Programme
The workshop will take place September 19th, in conjunction with ECML/PKDD 2022. Download the full schedule here.
Keynote
DishBrain and immunoception: Active inference at a biological interface Anjali Bhat
Accepted presentations
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models
Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen and Bart Dhoedt
Reclaiming saliency: rhythmic precision-modulated action and perception
Filip Novicky, Ajith Meera, Thomas Parr, Karl Friston, Pablo Lanillos and Noor Sajid
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks
Paul Kinghorn, Beren Millidge and Christopher Buckley
Spin glass systems as collective active inference
Conor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera and Christopher Buckley
Interpreting systems as solving POMDPs: a step towards a formal understanding of agency
Martin Biehl and Nathaniel Virgo
Knitting a Markov blanket is hard when you are out-of-equilibrium: two examples in canonical nonequilibrium models
Miguel Aguilera, Ángel Poc-López, Conor Heins and Christopher L Buckley
Mapping Husserlian phenomenology onto active inference
Mahault Albarracin, Riddhi Jain Pitliya and Maxwell Ramstead
Object-based Active Inference
Ruben van Bergen and Pablo Lanillos
Accepted posters
The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference
Jonathan Bauermeister and Pablo Lanillos
World model learning from demonstrations with active inference: application to driving behavior
Ran Wei, Alfredo Garcia, Anthony McDonald, Gustav Markkula, Johan Engstrom, Isaac Supeene and Matthew O'Kelly
Active Blockference: cadCAD with Active Inference for cognitive systems modeling
Jakub Smékal, Arhan Choudhury, Amit K. Singh, Shady El Damaty and Daniel A. Friedman
Active Inference Successor Representations
Beren Millidge and Christopher Buckley
Learning Policies for Continuous Control via Transition Models
Justus Huebotter, Serge Thill, Marcel van Gerven and Pablo Lanillos
Attachment Theory in an Active Inference Framework: How Does Our Inner Model Take Shape?
Erica Santaguida and Massimo Bergamasco
Capsule Networks as Generative Models
Alex Kiefer, Beren Millidge, Alexander Tschantz and Christopher Buckley
Home run: finding your way home by imagining trajectories
Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen and Bart Dhoedt
A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative Culture.
Natalie Kastel
Active Inference and Psychology of Expectations: A study of formalizing ViolEx
Dhanaraaj Raghuveer and Dominik Endres
AIXI, FEP-AI, and integrated world models: Towards a unified understanding of intelligence and consciousness
Adam Safron
Intention Modulation for Multi-Step Tasks in Continuous Time Active Inference
Matteo Priorelli and Ivilin Peev Stoianov
Learning Generative Models for Active Inference using Tensor Networks
Samuel Wauthier, Bram Vanhecke, Tim Verbelen and Bart Dhoedt
A Worked Example of the Bayesian Mechanics of Classical Objects
Dalton A R Sakthivadivel
A message passing perspective on planning under Active Inference
Magnus T. Koudahl, Christopher L. Buckley and Bert de Vries
Efficient search of active inference policy spaces using K-means
Alex Kiefer and Mahault Albarracin
Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents
Zahra Sheikhbahaee, Adam Safron, Nick Hay, Jeff Orchard and Jesse Hoey
Deriving time-averaged active inference from control principles
Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Barrett and Karen Quigley