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1. Active Inference for Stochastic Control

2. Learning One Abstract Bit at a Time Through Self-invented Experiments Encoded as Neural Networks

3. Probabilistic Majorization of Partially Observable Markov Decision Processes

4. Active Inference in Hebbian Learning Networks

5. Efficient Motor Learning Through Action-Perception Cycles in Deep Kinematic Inference

6. Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments

7. On Embedded Normativity an Active Inference Account of Agency Beyond Flesh

8. Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference

9. Relative Representations for Cognitive Graphs

10. Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory

11. An Analytical Model of Active Inference in the Iterated Prisoner’s Dilemma

12. Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making

13. Towards Understanding Persons and Their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework

14. A Model of Agential Learning Using Active Inference

15. Toward Design of Synthetic Active Inference Agents by Mere Mortals

16. Understanding Tool Discovery and Tool Innovation Using Active Inference

17. Towards Metacognitive Robot Decision Making for Tool Selection

18. Contextual Qualitative Deterministic Models for Self-learning Embodied Agents

19. Mapping Husserlian Phenomenology onto Active Inference

20. World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior

21. Spin Glass Systems as Collective Active Inference

22. Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models

23. The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference

24. Deriving Time-Averaged Active Inference from Control Principles

25. Disentangling Shape and Pose for Object-Centric Deep Active Inference Models

26. Interpreting Systems as Solving POMDPs: A Step Towards a Formal Understanding of Agency

27. Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents

28. Efficient Search of Active Inference Policy Spaces Using k-Means

29. Object-Based Active Inference

30. A Message Passing Perspective on Planning Under Active Inference

31. A Worked Example of the Bayesian Mechanics of Classical Objects

32. Preventing Deterioration of Classification Accuracy in Predictive Coding Networks

33. Intention Modulation for Multi-step Tasks in Continuous Time Active Inference

34. AIXI, FEP-AI, and Integrated World Models: Towards a Unified Understanding of Intelligence and Consciousness

35. Active Inference and Psychology of Expectations: A Study of Formalizing ViolEx

36. Home Run: Finding Your Way Home by Imagining Trajectories

37. Learning Generative Models for Active Inference Using Tensor Networks

38. A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative Culture

39. Attachment Theory in an Active Inference Framework: How Does Our Inner Model Take Shape?

40. Capsule Networks as Generative Models

41. Active Inference Successor Representations

42. Active Blockference: cadCAD with Active Inference for Cognitive Systems Modeling

43. Learning Policies for Continuous Control via Transition Models

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