Active Inference · Paper · 2025

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

Prakash Chandra Kavi, Gorka Zamora-López, Daniel Ari Friedman, Gustavo Patow

Entropy

Catalog Row27
Citation KeyFriedman2025ThoughtseedsHierarchicalAgenticFramework027
Paper FolderAvailable
Platform availability
  • ⬜ Zenodo
  • ⬜ GitHub
  • ⬜ arXiv
  • ⬜ OSF
  • ⬜ HuggingFace
  • ⬜ Software Heritage
  • ⬜ PyPI
  • Full documentation

Overview

Extracted from the local paper documentation when available.

Thoughtseeds presents a hierarchical and agentic framework for investigating thought dynamics in meditative states. The framework models thoughts as self-organizing agents (thoughtseeds) that compete and cooperate within a cognitive landscape, using Active Inference to formalize the dynamics of attention, awareness, and thought emergence during meditation.

Thoughtseedsmeditationthought dynamicshierarchical modelingagentic frameworkActive Inferenceattentionmindfulness

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • Thoughtseeds presents a hierarchical and agentic framework for investigating thought dynamics in meditative states..
  • The framework models thoughts as self-organizing agents (thoughtseeds) that compete....
Methods / Techniques
  • Free energy minimization
  • Bayesian modeling and inference

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. DOI: 10.3390/e27050459. URL: https://doi.org/10.3390/e27050459.

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