framework
active
framework:hierarchical-precision-modulation-frameworkHierarchical Precision Modulation Framework
Novel framework introduced by this paper: three-level generative model (perception, attention, meta-awareness) for formalizing consciousness of one's own attentional states.
Neighborhood — ranked by edge-count
Concepts (3)
concept
- Precision Parameter (γ)implementsCore mechanism across all three levels; inverse variance controlling how much the system trusts evidence at each hierarchical level.
- Formal model of meditation phenomenology: focus → distraction → awareness of distraction → redirection, derived from active inference.
- Philosophical distinction used to explain how Level 3 meta-awareness makes Level 2 attentional states conscious and controllable.
Claims (1)
claim
- Design principle with implications for AI and consciousness-UX; architectural requirement for self-directed cognition.
Frameworks (1)
framework
- Active InferenceextendsFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
Artifacts (1)
artifact
- Open-source implementation of three-level hierarchy simulations; enables reproduction and extension of focused attention cycle dynamics.
Hypotheses (1)
hypothesis
- Future work direction; extends current model beyond attentional precision to full space of emotional and metacognitive phenomena.
Venues (1)
venue
- Neuroscience of ConsciousnessintroducesJournal of publication; 2021 volume 7(1).
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Precision is the unified mechanism for attention and meta-awareness across hierarchical levels.claim0.705Core theoretical claim: attention = precision over sensory evidence; meta-awareness = precision over attentional states; meditation = precision modulation.
- The theoretical framework from Rumelhart, McClelland, and Smolensky (1986) identifying distributed representations in neural networks; theoretical precursor to DAS.
- The concept of inner vs outer alignment, referenced multiple times.
- Quantifies certainty in beliefs; modulates policy selection; related to dopamine encoding.
- Enable brain to construct dynamic, context-sensitive prior expectations; foundational to perceptual inference scheme.
- Prior Anthropic paper enabling circuit-level analysis of attention-only transformers; motivates current MLP decomposition