Computational · Paper · 2026

BeeStack: An Evidence-Typed Scaffold for Whole-Colony Honeybee Simulation

Zenodo

Catalog Row125
Citation KeyFriedman2026BeeStackEvidenceTypedScaffold125
Paper FolderAvailable
DOI10.5281/zenodo.20420556
Platform availability

Overview

Extracted from the local paper documentation when available.

BeeStack is an executable, evidence-typed research scaffold for whole-colony simulation of the Western honey bee (Apis mellifera), organized as five layers (Body, Brain, Mind, Swarm, Niche). It pairs FlyBody/MuJoCo body and small-scene swarm renders with curated empirical BeeBrain datasets and reduced deterministic kernels, keeping fidelity a declared per-module property: every quoted number is tr...

honeybeeApis melliferaactive inferencesimulation scaffoldswarm intelligenceniche constructionFlyBodyMuJoCoantennal lobemushroom bodycentral complexwaggle dance

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • BeeStack is an executable, evidence-typed research scaffold for whole-colony simulation of the Western honey bee (Apis mellifera), organized as five layers (Body, Brain, Mind, Swarm, Niche).
  • It pairs FlyBody/MuJoCo body and small-scene swarm renders with curated empirical BeeBrain datasets and reduced deterministic kernels, keeping fidelity a declared per-module property: every quoted num
Methods / Techniques
  • Software pipeline design
  • Data-driven analysis

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. BeeStack: An Evidence-Typed Scaffold for Whole-Colony Honeybee Simulation. Zenodo. DOI: 10.5281/zenodo.20420556. URL: https://doi.org/10.5281/zenodo.20420556.

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