Markov Blankets

Neighborhood — ranked by edge-count

framework

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.

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.

Markov Blanketconcept0.930
A statistical partition of states that separates internal states from external hidden states; fundamental to self-organization in the paper.
Markov Blankets Approachframework0.894
A Markov blanket is (almost) inevitable in coupled dynamical systems with short-range interactions.claim0.813
Argument that physical laws inevitably produce Markov blankets.
Is there a unique Markov blanket for any given system?question0.779
Question about the multiplicity of Markov blankets across scales.
Is there a unique Markov blanket for any given system, or do nested multi-scale Markov blankets all exhibit life-like behavior?question0.767
Poses challenge to definition: if every Markov blanket induces active inference, is there lifelike behavior everywhere?
Markov Propertyconcept0.759
Assumption required by IIT 3.0/4.0 and PyPhi; tested for each optimal time series derived from (C)ARR.
Minimum entropy Markov blankets may characterize biological systems.claim0.754
Conjecture about what distinguishes living from non-living systems.
Markov Decision Process (MDP)framework0.735
Generative model substrate for active inference; discrete states, actions, outcomes, and temporal policies.