Public-safe experimental environment for exploring layered decision dynamics, synchronization effects, trajectory monitoring, and supervisory stability behavior. The demo is browser-based and focused on supervisory dynamics visualization rather than 3D rendering or graphical simulation engines.
This repository contains an interactive browser-based research demo inspired by the IDDA (Intelligent Deterministic Decision Architecture) framework.
The demo visualizes how layered environments may develop:
- synchronization instability,
- latent correlation buildup,
- recovery rebound effects,
- supervisory threshold stress,
- silent trajectory drift.
The implementation is intentionally simplified and does not expose internal production logic, protected admissibility mechanisms, or deployment tuning procedures.
The project focuses on:
- layered decision dynamics,
- deterministic supervisory logic,
- trajectory monitoring,
- correlation-aware stability analysis,
- operational admissibility research.
This repository is intended for:
- research presentation,
- visualization,
- educational discussion,
- experimental interaction.
It is NOT a production deployment.
Live demo:
https://piotrpietruszewski-research.github.io/idda-interactive-lab/
The demo includes simplified simulations of:
- Recovery Rebound
- Latent Correlation Build-Up
- Silent Drift
- Synchronization Escalation
- Supervisory HOLD Activation
The public version intentionally abstracts:
- internal governance logic,
- protected tuning methods,
- admissibility weighting,
- deployment architecture,
- operational decision procedures.
IDDA Foundational Constraints v1.0
Piotr Pietruszewski
Independent Researcher
IDDA — Intelligent Deterministic Decision Architecture
Research preview only.
All rights reserved.