Markov blanket

Compiled with AI assistance and selectively reviewed. Please consult the cited passages; the books remain the authoritative source. About this companion

Editorial synthesis · provisional

Definition

A Markov blanket is the statistical boundary used in the corpus’s Friston-associated account to distinguish internal and external states through sensory and active states. It describes a selective interface rather than a sealing wall. Its use in modeling self-maintenance does not, by itself, establish a biological boundary, literal inference or a complete definition of life.

Explanation

RB2 connects the blanket with a bounded system that remains open to exchange. Sensory and active states mediate the relation between its internal organization and what lies beyond. The statistical distinction is not meant to deny worldly coupling or make the organism an isolated spectator.

The surrounding discussion distinguishes Hohwy’s evidentiary boundary from a causal prison. Bodies can move, arrange and exploit environmental scaffolds to change the difficulty of prediction. Keeping an inferential standpoint does not imply that useful cognitive support must all be stored behind a physical wall.

RB2 also records criticism of well-defined statistical boundaries and stationarity in biological applications. A system’s formal description as if it performed inference requires more argument before becoming a literal ontological claim. The proposed subentry preserves this limitation instead of treating a blanket as sufficient evidence of agency or consciousness.

Scope and attribution

Use the source’s bounded explanation; do not add an unsupported technical derivation.

AB — The Actual Book

The note names the Markov-blanket formulation within predictive theory.

Occurrence locators: Notes: 242.

RB2 — The Real Book, Volume II: Becoming Is Being

A statistical interface remains open, with assumptions and interpretive limits explicitly challenged.

Occurrence locators: 117, 118, 121, 122.

Background used in the editorial explanation

Named theories and mechanisms are distinguished from neighboring background, homonyms and the author’s own synthesis. Reproduced AI passages retain their separate voice.