Abstract is missing.
- Preventing Deterioration of Classification Accuracy in Predictive Coding NetworksPaul F. Kinghorn, Beren Millidge, Christopher L. Buckley. 1-15 [doi]
- Interpreting Systems as Solving POMDPs: A Step Towards a Formal Understanding of AgencyMartin Biehl, Nathaniel Virgo. 16-31 [doi]
- Disentangling Shape and Pose for Object-Centric Deep Active Inference ModelsStefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt. 32-49 [doi]
- Object-Based Active InferenceRuben S. van Bergen, Pablo Lanillos. 50-64 [doi]
- Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium ModelsMiguel Aguilera, Ángel Poc-López, Conor Heins, Christopher L. Buckley. 65-74 [doi]
- Spin Glass Systems as Collective Active InferenceConor Heins, Brennan Klein, Daphne Demekas, Miguel Aguilera, Christopher L. Buckley. 75-98 [doi]
- Mapping Husserlian Phenomenology onto Active InferenceMahault Albarracin, Riddhi J. Pitliya, Maxwell J. D. Ramstead, Jeffrey Yoshimi. 99-111 [doi]
- The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active InferenceJonathan Bauermeister, Pablo Lanillos. 112-129 [doi]
- World Model Learning from Demonstrations with Active Inference: Application to Driving BehaviorRan Wei, Alfredo Garcia, Anthony D. McDonald, Gustav Markkula, Johan Engström, Isaac Supeene, Matthew O'Kelly. 130-142 [doi]
- Active Blockference: cadCAD with Active Inference for Cognitive Systems ModelingJakub Smékal, Arhan Choudhury, Amit Kumar Singh, Shady El Damaty, Daniel Ari Friedman. 143-150 [doi]
- Active Inference Successor RepresentationsBeren Millidge, Christopher L. Buckley. 151-161 [doi]
- Learning Policies for Continuous Control via Transition ModelsJustus F. Hübotter, Serge Thill, Marcel van Gerven, Pablo Lanillos. 162-178 [doi]
- Attachment Theory in an Active Inference Framework: How Does Our Inner Model Take Shape?Erica Santaguida, Massimo Bergamasco. 179-191 [doi]
- Capsule Networks as Generative ModelsAlex B. Kiefer, Beren Millidge, Alexander Tschantz, Christopher L. Buckley. 192-209 [doi]
- Home Run: Finding Your Way Home by Imagining TrajectoriesDaria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt. 210-221 [doi]
- A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative CultureNatalie Kastel, Guillaume Dumas. 222-234 [doi]
- Active Inference and Psychology of Expectations: A Study of Formalizing ViolExDhanaraaj Raghuveer, Dominik Endres. 235-250 [doi]
- AIXI, FEP-AI, and Integrated World Models: Towards a Unified Understanding of Intelligence and ConsciousnessAdam Safron. 251-273 [doi]
- Intention Modulation for Multi-step Tasks in Continuous Time Active InferenceMatteo Priorelli, Ivilin Peev Stoianov. 274-284 [doi]
- Learning Generative Models for Active Inference Using Tensor NetworksSamuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt. 285-297 [doi]
- A Worked Example of the Bayesian Mechanics of Classical ObjectsDalton A. R. Sakthivadivel. 298-318 [doi]
- A Message Passing Perspective on Planning Under Active InferenceMagnus T. Koudahl, Christopher L. Buckley, Bert de Vries. 319-327 [doi]
- Efficient Search of Active Inference Policy Spaces Using k-MeansAlex B. Kiefer, Mahault Albarracin. 328-342 [doi]
- Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference AgentsAdam Safron, Zahra Sheikhbahaee, Nick Hay, Jeff Orchard, Jesse Hoey. 343-354 [doi]
- Deriving Time-Averaged Active Inference from Control PrinciplesEli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley. 355-370 [doi]