Overview
Extracted from the local paper documentation when available.
We develop a three-level hierarchical framework to model the attentional dynamics of focused attention (FA) meditation, laying a foundation for advanced active inference (AIF) implementations. Grounded in the Free Energy Principle and Neuronal Packet Hypothesis, we conceptualize meditation as a predictive processing system where “thoughtseeds”—transient, agent-like entities forming Markov...
Active Inferencefocused attention meditationthoughtseedsFree Energy Principlehierarchical modelingexpert-novice differencesDMNprecision weightingNeuronal Packet Hypothesiscontemplative neuroscience
Use Notes
Concise findings and methods pulled from README/SKILL documentation.
Citation
Plain-text citation for quick reuse.
Friedman, Daniel Ari. 2026. Dynamic Attentional Agents in Focused Attention Meditation: Hierarchical Computational Modeling of Expert-Novice Differences. CSCIS vol 2857, Springer. DOI: 10.1007/978-3-032-16955-6_11. URL: https://doi.org/10.1007/978-3-032-16955-6_11.
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