paper:niab018-sandvedsmith-ramstead-2021-computational-phenomenology-meta-awarenessTowards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference
Findings (2)
- Mind-wandering emerges as a precision inference gap: true attentional state ≠ believed attentional state; increased meta-awareness reduces gap duration.
Key simulation result; bridges phenomenology (meditation experience) and formal dynamics (precision mismatch).
- Attentional state posterior = prior + ascending evidence + precision-weighted perceptual evidence (Eq. 1).
Formal model of how Level 3 meta-awareness precision gates Level 1 perceptual integration into Level 2 attentional beliefs.
Claims (2)
- Any system monitoring and controlling its own processing requires all three hierarchical levels: perception, attention, meta-awareness.
Design principle with implications for AI and consciousness-UX; architectural requirement for self-directed cognition.
- Precision is the unified mechanism for attention and meta-awareness across hierarchical levels.
Core theoretical claim: attention = precision over sensory evidence; meta-awareness = precision over attentional states; meditation = precision modulation.
Hypotheses (1)
- A generalized model where Level 2 modulates all Level 1 precision parameters would capture mood, emotion, and broader phenomenology of mental states.
Future work direction; extends current model beyond attentional precision to full space of emotional and metacognitive phenomena.
Questions (1)
- How can the three-level hierarchy be empirically validated against qualitative, behavioral, and neural data?
Stated limitation and future direction; model currently simulation-only.
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- Active Inference: A Process Theorycitedin corpus2017≈ 83%
- A tale of two densities: active inference is enactive inferencecitedin corpus2020≈ 79%
- Modeling Autonomous Shifts Between Focus State and Mind-Wandering Using a Predictive-Coding-Inspired Variational RNN ModelJun Tani Henrique Oyama2024≈ 83%
- Predictions in the eye of the beholder: an active inference account of Watt governorsChristopher L. Buckley, Jelle Bruineberg Manuel Baltieri2022≈ 82%
- On the Minimal Theory of Consciousness Implicit in Active InferenceAndrew W. Corcoran, Jonathan Robinson, Ryan Smith, Rosalyn J. Moran, Thomas Parr, Karl J. Friston, Anil K. Seth, Jakob Hohwy Christopher J. Whyte2025≈ 82%
- Active Inference: A method for Phenotyping Agency in AI systems?Philip Wilson and Axel Constant and Mahault Albarracin and Nicol\'as Hinrichs and Jasmine Moore and Daniel Polani and Karl Friston2026≈ 82%
- Reclaiming saliency: rhythmic precision-modulated action and perceptionFilip Novicky, Thomas Parr, Karl Friston, Pablo Lanillos and Noor Sajid Ajith Anil Meera2022≈ 82%
- ≈ 82%
- Mapping Husserlian phenomenology onto active inferenceRiddhi J. Pitliya, Maxwell J. D. Ramstead, and Jeffrey Yoshimi Mahault Albarracin2022≈ 82%
- ≈ 82%
- Active Inference, Curiosity and Insightin corpus2017≈ 81%
- The modularity of action and perception revisited using control theory and active inferenceManuel Baltieri and Christopher L. Buckley2022≈ 81%
- Consciousness is entailed by compositional learning of new causal structures in deep predictive processing systemsV.A. Aksyuk2024≈ 81%
- ≈ 81%
- A Neuroscience-Inspired Dual-Process Model of Compositional GeneralizationClaas Beger, Jacob Groner, Kevin Ellis, Weinan Sun Alex Noviello2025≈ 81%
- An Active Inference Model of Covert and Overt Visual AttentionKarlo Koledi\'c, Fabio Bonsignorio, Ivan Petrovi\'c, and Ivan Markovi\'c Tin Mi\v{s}i\'c2025≈ 81%
- ≈ 81%
- MetaMind: General and Cognitive World Models in Multi-Agent Systems by Meta-Theory of MindRashed Shelim, Walid Saad, Naren Ramakrishna Lingyi Wang2026≈ 81%
- The Phenomenology of Machine: A Comprehensive Analysis of the Sentience of the OpenAI-o1 Model Integrating Functionalism, Consciousness Theories, Active Inference, and AI ArchitecturesVictoria Violet Hoyle2024≈ 81%
- Anima Labs Phenomenology Pt1in corpus≈ 81%
- ≈ 80%
- ≈ 80%
- The Machine Consciousness Hypothesisin corpus≈ 80%
- ≈ 80%
- ≈ 80%
- cimcWhitepaperin corpus≈ 80%
- ≈ 80%
- ≈ 79%
- Contemplative Agentin corpus2025≈ 79%
- The computational boundary of a 'self': developmental bioelectricity drives multicellularity and scale-free cognitionin corpus2019≈ 79%
+17 more
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Cited by (1)
- Contemplative Agent
Embedding four Buddhist-derived axiomatic principles—mindfulness, emptiness, non-duality, and boundless care—into AI systems via a framework the paper terms the 'Wise World Model' produces measurable