Computational · Paper · 2026

A Deterministic Testbed for Self-Organizing Agent-Team Coordination

Zenodo

Catalog Row151
Citation KeyFriedman2026DeterministicTestbedSelfOrganizing151
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Overview

Extracted from the local paper documentation when available.

Recent work on AutoScientists coordinates self-organizing teams of language-model agents through a small set of shared mechanisms: a champion-and-experiment-log shared state, a registry of retired dead-end directions, effect-size ranking of candidate directions, noise-band confirmation of claimed improvements, and stagnation-driven reorganization of teams. This exemplar provides a deterministic, ...

agent coordinationscientific discoverynoise-band confirmationablation studyreproducible researchlanguage-model agents

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • Recent work on AutoScientists coordinates self-organizing teams of language-model agents through a small set of shared mechanisms: a champion-and-experiment-log shared state, a registry of retired de
  • This exemplar provides a deterministic, standalone reference implementation of those mechanisms and studies them honestly as a testbed rather than as a performance claim.
Methods / Techniques
  • Software pipeline design
  • Data-driven analysis

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. A Deterministic Testbed for Self-Organizing Agent-Team Coordination. Zenodo. DOI: 10.5281/zenodo.20533669. URL: https://doi.org/10.5281/zenodo.20533669.

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