Marr's Three Levels of Analysis

Framework for analyzing cognitive systems at computational, algorithmic, and implementation levels; invoked to situate the paper's contributions

Neighborhood — ranked by edge-count

thinker

David Marr
studies
Proponent of levels of analysis in computational neuroscience, referenced for multi-level approach to developmental bioelectricity.

concept

Science of Consciousness in Artificial Systems
associated_with
The emerging research domain the paper aims to contribute to: systematic study of consciousness-relevant dynamics in AI

framework

Marr's Levels of Analysis
related_to
Computational/algorithmic/implementational levels of analysis; cited as example that high-level analysis (motivations, goals) is often more effective than bottom-up prediction for complex agents

artifact

Large Language Models Report Subjective Experience Under Self-Referential Processing
cites
Key paper finding structured first-person descriptions in LLMs claiming awareness or subjective experience during self-referential processing.

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.

Marrs Taxonomy Of Levelsframework0.848
Perhaps we will need three levels of specification, internal, input-output and accomplishment.hypothesis0.744
Speculation about specification hierarchy.
Marrs Taxonomyframework0.743
Multi-Level Selection Theoryframework0.738
Framework dividing covariance of character and fitness into between-collective and within-collective components; addresses limitation of kin selection.
Three-Level Reflection Frameworkframework0.736
The paper's proposed categorization of reflection into No Reflection, Intrinsic Reflection, and Triggered Reflection.
Any system monitoring and controlling its own processing requires all three hierarchical levels: perception, attention, meta-awareness.claim0.732
Design principle with implications for AI and consciousness-UX; architectural requirement for self-directed cognition.
Multi Level Bayesian Inferenceframework0.723
Three-Level Generative Model of Mindfulnessconcept0.722
Formal active inference model with perceptual, attentional, and meta-awareness states implementing mindfulness