teleo-codex/domains/collective-intelligence/collective-active-inference-requires-group-level-markov-blanket.md

type	domain	description	confidence	source	created	depends_on	challenged_by
claim	collective-intelligence	A collective of active inference agents achieves group-level agency only when it maintains a statistical boundary (Markov blanket) separating the collective from its environment	likely	Kagan et al. (2025), 'As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference', Entropy 27(2), 143	2026-03-10

A collective of active inference agents achieves group-level agency only when it maintains a group-level Markov blanket

Kagan et al. (2025) establish that multiple active inference agents can form a higher-level active inference agent, but this emergence is conditional rather than automatic. The critical condition is the maintenance of a group-level Markov blanket—a statistical boundary that separates the collective from its environment.

The authors formalize the relationship between individual agent generative models and the emergent group-level generative model. They demonstrate that simply aggregating active inference agents does not produce group-level agency; specific structural conditions must be satisfied. The group-level Markov blanket functions as the statistical boundary that enables the collective to maintain coherent identity and agency while interacting with its environment.

Evidence

• source:kagan-2025 — Group-level active inference agent emerges only when collective maintains group-level Markov blanket (statistical boundary between collective and environment)
• source:kagan-2025 — This is a conditional requirement: aggregation of agents alone is insufficient; the boundary structure is architecturally necessary

Challenges

• None identified in this source; the claim represents the paper's core theoretical contribution

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Relevant Notes:

• markov-blankets-enable-complex-systems-to-maintain-identity-while-interacting-with-environment-through-nested-statistical-boundaries — provides theoretical foundation for group-level Markov blanket requirement
• collective-intelligence-is-a-measurable-property-of-group-interaction-structure-not-aggregated-individual-ability — aligns with paper's finding that group agency depends on structural conditions, not individual capability aggregation

Topics:

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