Vinliantech/symbioforge-taxonomy: SymbioForge Taxonomy v1.0.0 - Initial Public Release

Overview

The SymbioForge Taxonomy addresses a critical gap in AI research: the absence of standardized vocabulary for describing socially adaptive agent behaviors. As AI systems transition from isolated task execution to persistent operation in social, economic, and institutional contexts, the field lacks adequate language for agent-environment co-evolution across domains.

What Problem Does This Solve?

• Terminology Fragmentation: Researchers use incompatible labels for similar agent behaviors across different domains
• Governance Challenges: Safety teams cannot consistently classify social interaction risks without precise, shared terminology
• Communication Barriers: Interdisciplinary teams struggle to establish common ground when discussing agent behaviors
• Documentation Gaps: Deployment decisions proceed with under-specified behavioral descriptors

Who Should Use This?

• AI Researchers: Describing agent behaviors in papers and experiments
• Safety & Governance Teams: Conducting risk assessments and audits
• Product Developers: Documenting AI system behaviors for deployment
• Policy Makers: Crafting regulations with precise behavioral definitions
• Educators: Teaching about AI agent systems and their social implications
• Interdisciplinary Teams: Establishing shared vocabulary across AI, social sciences, and policy

Features

• Structured Vocabulary Framework: 250+ terms for describing socially adaptive AI agent behaviors
• Five-Layer Ontological Structure: Hierarchical organization from Social Function → Behavioral Strategy → Mechanism Pattern → Context Domain → Governance Hooks
• Domain Coverage: Terms spanning education, media, governance, collaborative work, and scientific collaboration
• Term Specification Templates: Standardized format including definitions, domains, observable signals, risk flags, and governance notes
• Governance Framework Mappings: Explicit alignment with NIST AI RMF and OECD AI Principles
• Version Control System: Semantic versioning with changelogs for term evolution tracking

Contents

This release includes:

• /terms/: Individual term definitions in structured markdown format

  • Simulation-grounded strategy terms (SimWeave, PhysLang)
  • Causal and explanatory structures (CausalForge)
  • Multi-agent coordination patterns (EvoSwarm, PoolSymbiont)
  • Educational and narrative adaptation terms (LearnForge, NarraForge)
  • Discourse and media dynamics terms (TrendSymbiont)

• /ontology/: Machine-readable ontology representations

  • JSON-LD format for semantic web integration
  • OWL format for automated reasoning

• /mappings/: Crosswalks to governance frameworks

  • NIST AI RMF function mappings (Map, Measure, Manage, Govern)
  • OECD AI Principles alignment documentation
  • AI incident taxonomy connections

• /docs/: Documentation and methodology

  • Taxonomy design principles
  • Term development pipeline
  • Inclusion/exclusion criteria
  • Evaluation framework

• /validation/: Evaluation materials

  • Annotation agreement datasets
  • Inter-rater consistency protocols
  • Cross-domain transferability test cases

• /changelog/: Version history and term evolution documentation

• README.md: Overview, quick start guide, and contribution guidelines

How to Use

1. Browse terms in the /terms/ directory for behavioral descriptors
2. Reference the ontology files for systematic taxonomy structure
3. Use governance mappings to align with established frameworks
4. Follow term specification templates when proposing new additions
5. Cite using the DOI provided below

Citation

If you use the SymbioForge Taxonomy in your research, please cite:

@dataset{okolie_2026_symbioforge,
  author       = {Okolie, Vincent},
  title        = {SymbioForge Taxonomy: A Social Vocabulary for Agentic AI Systems},
  year         = 2026,
  publisher    = {Zenodo},
  version      = {v1.0.0},
  doi          = {10.5281/zenodo.18641859},
  url          = {doi.org
}

Related Work

For detailed information on the taxonomy's theoretical foundation, design principles, and applications, see the accompanying paper: "A Social Vocabulary for Agentic AI Systems: The SymbioForge Taxonomy"

Contributing

The taxonomy is designed as living infrastructure. We welcome:

• Critique and suggestions for refinement
• New term proposals following the specification template
• Cross-domain validation studies
• Extension to additional application domains

Contact

Vincent Okolie - Independent Researcher, Abuja, Nigeria
GitHub: https://github.com/Vinliant…

License

This work is released under CC-BY 4.0]