#onn

Integrated Architecture — SCC × ONN as one cognitive-reasoning system

The ultimate design target of the whole research programme: a single cognitive-reasoning architecture that unifies Soft Cognitive Cohesion (SCC) and Ontology Neural Networks (ONN). Four layers, one pipeline, one vision.

Ontology Neural Network and ORTSF: A Framework for Topological Reasoning and Delay-Robust Control

The advancement of autonomous robotic systems has led to significant capabilities in perception, localization, mapping, and control, yet a critical challenge re

Advanced Topology-Preserving Neural Networks: An Extension of ONN/ORTSF Framework with Dynamic Structural Optimization

This work presents the first comprehensive empirical investigation into the practical realization of performance bounds theoretically established by the Ontolog

Constructive Lyapunov Functions via Topology-Preserving Neural Networks

We present a constructive solution to the Lyapunov–Massera–Kurzweil problem via Ontology Neural Networks (ONN), bridging a 60-year gap between existence and con

Ontology Neural Networks for Topologically Conditioned Constraint Satisfaction

Neuro-symbolic reasoning systems face fundamental challenges in maintaining semantic coherence while satisfying physical and logical constraints. Building upon

ONN project status report -- codebase, tests, and paper readiness

Snapshot of the ONN-ES codebase at ~45,800 lines across 154 files: module completion, 98.7% test pass rate, 11/12 paper figures done, and a prioritized punch list.

ONN + ORTSF — a field note on testable claims and proxy controllers

A compact field note distilled from a multi-round research-planning session: testable claims for the ONN + ORTSF pipeline, an evaluation matrix, acceptance thresholds, and the risks that most threaten faithful reproduction.

ONN Canonical Specification

The authoritative formal specification of the Ontology Neural Network architecture — primitives, the constraint-satisfaction formalism, the topology-preservation guarantee, and the interface to ORTSF delay-robust control.

ONN — Current State and Theory Snapshot

A snapshot of Ontology Neural Network theory and implementation as it stands — what is rigorously proved, what is empirically validated, and what remains open.

ONN vs Transformer — Experiment Plan

The full experimental protocol comparing ONN to Transformer baselines under matched compute and delay regimes.