Thoughtseeds: A Hierarchical and Agentic Framework for Investigating Thought Dynamics in Meditative States

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Citation KeyFriedman2025ThoughtseedsHierarchicalAgenticFramework027

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Overview

Extracted from the local paper documentation when available.

The Thoughtseeds Framework presents a novel computational model for understanding thought dynamics during meditative states, conceptualizing thoughtseeds as dynamic attentional agents. This hierarchical model simulates focused-attention Vipassana meditation and reveals insights into attention regulation and meta-cognitive awareness.

Thoughtseedsmeditationthought dynamicshierarchical modelingagentic frameworkActive Inferenceattentionmindfulness

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Introduces the Thoughtseeds Framework for modeling thought dynamics in meditation.
Integrates Global Workspace Theory and the Intrinsic Ignition Framework to elucidate meditative experiences.
Demonstrates the framework's applicability through simulations comparing novice and expert meditators.
Offers a biologically plausible perspective on cognitive state emergence and transitions.

Methods / Techniques

Employs a hierarchical model structured as nested Markov blankets.
Simulates focused-attention Vipassana meditation using rule-based training informed by neuroscience.
Utilizes computational modeling combined with phenomenological insights.
Applies the framework to investigate meditative states and mind-wandering episodes.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2025. Thoughtseeds: A Hierarchical and Agentic Framework for Investigating Thought Dynamics in Meditative States. Entropy.

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