concept
active
concept:markov-blanket

Markov Blanket

A statistical partition of states that separates internal states from external hidden states; fundamental to self-organization in the paper.

Neighborhood — ranked by edge-count

Thinkers (1)

thinker
  • Judea Pearl
    introduces
    Developed causal graph models and the do-operator, foundational to modern causal inference.

Frameworks (3)

framework
  • Active Inference
    associated_withimplements
    Foundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
  • Free Energy Principle
    associated_with
    A foundational variational principle from statistical physics that formalizes how self-organizing systems maintain structural integrity and adapt to their environment by minimizing free energy—a mathematical bound on surprise or prediction error. Originally developed by Karl Friston, the framework unifies action, perception, and learning as processes of active inference, where systems both update internal models of the world and act upon it to reduce the divergence between predictions and observations.
  • Reformulation of FEP in quantum information theory terms; the primary formal apparatus of the paper

Methods (1)

method
  • Technique using principal eigenvectors to identify densest clusters; applied to find principal Markov blanket in simulations.

Concepts (2)

concept
  • Generative Model
    associated_with
    Agent's internal probabilistic model of environment; enables belief inference about hidden states given outcomes.
  • Circular causality
    associated_with
    The reciprocal causal coupling between internal/external states via sensory/active states.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.