OntologicalEngineering/SONAR: SONAR v1.0.0 — Initial Academic Release
Abstract
Published: Greene, A. (2026). Mitigating Model Collapse in Recursive Neurosymbolic Agents: The SONAR Benchmark for Semantic Plasticity. Ontological Engineering Pty Ltd. DOI: 10.5281/zenodo.20566504. Official implementation and dataset for the SONAR Benchmark protocol. Core Implementation Details Engine: Includes the sonar_benchmark_nesy.py script, which implements the Synod-Realist-Diplomat recursive triad. Homeostasis: Provides the "Rupture" logic for detecting artifactual divergence via the τ=0.10 threshold. Symbolic Friction: Implements the Deterministic Boolean Constraint Logic validator for actor-action grounding and propositional persistence. Included Dataset N=30 Traces: Full execution traces for both regulated (SONAR) and ablated (Control) groups. Journal Data: Categorical logs documenting the transition from "Looping" to "Grounded" states across the 6-cycle horizon. Legal and Intellectual Property Patent Status: Australian Provisional Patent Application No. 2026900247 was filed on 10 January 2026 and remains an active provisional application, maintained defensively to preserve strategic enforcement options against proprietary capture. The core benchmark code is concurrently published as open source under AGPL-3.0. License: Dual-licensed under AGPL-3.0 (free for any use, including by adverse parties, regulators, courts, and independent expert witnesses) or a separate commercial license. See LICENSE.txt for full terms. Empirical extension: Greene, A. (2026). Technical Analysis of Generative Architecture: Surplus Fluency, Constraint-Induced Fabrication, and Epistemic Disclosure Requirements. OE-TR-2026-03. Ontological Engineering Pty Ltd. DOI: 10.5281/zenodo.20066480
Fields of Study & Subjects
Logic
Reasoning
and Knowledge
Psychiatry
Mental Health
Neuroscience
Multi-Agent Systems and Negotiation
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 January 2026