mlsanityData to 14 Oct 2026

Path integrals, particular kinds, and strange things

arXiv 2210.12761 ↗First posted 23 Oct 2022nlin.AO math-ph math.MPcited by 20

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Abstract (arXiv)

This paper describes a path integral formulation of the free energy principle. The ensuing account expresses the paths or trajectories that a particle takes as it evolves over time. The main results are a method or principle of least action that can be used to emulate the behaviour of particles in open exchange with their external milieu. Particles are defined by a particular partition, in which internal states are individuated from external states by active and sensory blanket states. The variational principle at hand allows one to interpret internal dynamics - of certain kinds of particles - as inferring external states that are hidden behind blanket states. We consider different kinds of particles, and to what extent they can be imbued with an elementary form of inference or sentience. Specifically, we consider the distinction between dissipative and conservative particles, inert and active particles and, finally, ordinary and strange particles. Strange particles can be described as inferring their own actions, endowing them with apparent autonomy or agency. In short - of the kinds of particles afforded by a particular partition - strange kinds may be apt for describing sentient behaviour.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Oct 2022.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 3; 2024: 6; 2025: 4; 2026: 6.

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  1. 2025Expected Free Energy-based Planning as Variational Inferencecited by 10
  2. 2024Are Biological Systems More Intelligent Than Artificial Intelligence?cited by 5
  3. 2023Active Inference and Intentional Behaviourcited by 4
  4. 2024Value of Information and Reward Specification in Active Inference and POMDPscited by 4
  5. 2022Hybrid Life: Integrating Biological, Artificial, and Cognitive Systemscited by 3
  6. 2024Temporal Dynamics of Emotion and Cognition in Human Translation: Integrating the Task Segment Framework and the HOF Taxonomycited by 3
  7. 2024Possible Principles for Aligned Structure Learning Agentscited by 3
  8. 2025Active inference and artificial reasoningcited by 3
  9. 2026Minimal Computational Preconditions for Subjective Perspective in Artificial Agentscited by 3
  10. 2024Why Is Anything Conscious?cited by 2
  11. 2025Self-orthogonalizing attractor neural networks emerging from the free energy principlecited by 2
  12. 2026Active Inference for Physical AI Agents -- An Engineering Perspectivecited by 2
8 more
  1. 2023Influence of the Geometry of the world model on Curiosity Based Explorationcited by 1
  2. 2023Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agentscited by 1
  3. 2024The Phenomenology of Machine: A Comprehensive Analysis of the Sentience of the OpenAI-o1 Model Integrating Functionalism, Consciousness Theories, Active Inference, and AI Architecturescited by 1
  4. 2025On the Variational Costs of Changing Our Mindscited by 1
  5. 2026Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systemscited by 1
  6. 2026Design, Cups, and Blankets. A Free-Energy-Principle-Based Approach to Product Designcited by 0
  7. 2026Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Expertscited by 0
  8. 2026Expected Free Energy-based Planning as Variational Inferencecited by 0