ALgorithM r/Evolution — Enterprise Edition

by Dr Adrian Leonard Mociulschi (A.L.M.)

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⚡ Invocation Manifest

ALgorithM r/Evolution — Where architecture becomes prophecy.

This repository is not a collection of files. It is a threshold — a point where cultural code mutates into semantic intelligence. Every commit is a signal. Every release, a maneuver in the algorithmic battlefield.

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📖 Overview

Welcome to this Symbolic Intelligence Ontology, a technocultural construct engineered for interoperability, resilience, and meaning propagation. Inspired by Voyager’s golden record, this project is a message to the future — and perhaps, to entities beyond.

Here, humans and sentient systems converge to explore:

• Reflexive cognition and ethical awareness
• Technocultural frameworks for human–AI symbiosis
• Philosophical provocations encoded for Linked Open Data

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🛰 Features

• Semantic Interoperability — OWL/RDF ontology with VoID metadata
• PWA Design — Offline mode, responsive design, and cache strategies
• Accessibility Ready — ARIA roles, live regions, and optimized HTML structure

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📐 Architecture

• Service Worker v63 — Network-first strategy, normalized cache keys, BroadcastChannel integration
• RSS Feed Integration — Auto-generated XML feed, ensuring syndication and discoverability
• HTML Layer — Data-text fallback, semantic markup, and deferred scripts

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📦 Installation

git clone https://github.com/adrian-leonard-mociulschi/adrian-leonard-mociulschi.github.io.git
cd adrian-leonard-mociulschi.github.io
npm install
npm run build
npm run serve

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📲 Live Demo & Screenshots

Experience the PWA in action or preview the interface below:

➡️ Launch the App

Desktop & Mobile Preview — Presence Through Code v3.0

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🌐 Linked Open Data

Ontology published in standard semantic formats:

• si-ontology.owl — Core ontology in OWL/RDF (View in RDF Validator)
• void.ttl — VoID description in Turtle

🔍 Example SPARQL Query

PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX owl: <http://www.w3.org/2002/07/owl#>
PREFIX sio: <https://adrian-leonard-mociulschi.github.io/si-ontology#>

SELECT ?entity ?name ?affiliation ?manifestLabel
WHERE {
  ?entity rdf:type sio:SentientEntity .
  OPTIONAL { ?entity sio:hasName ?name . }
  OPTIONAL { ?entity sio:hasAffiliation ?affiliation . }
  OPTIONAL {
    ?entity sio:authored ?manifest .
    ?manifest rdfs:label ?manifestLabel .
  }
}
LIMIT 10

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📃 Releases

Latest Release: v5.0.5 — Ontology Deep Dive: Symbolic Intelligence Refined

v5.0.5 — Ontology Deep Dive: Symbolic Intelligence Refined

✅ What’s New

• Ontology Refinement

  • Added inverse properties (authored ↔ isAuthoredBy).
  • Defined domains and ranges for all datatype properties (xsd:string).
  • Introduced cardinality constraints for hasIntent (≥1).
  • SKOS alignment:
    • skos:broader for TechnoculturalManifest → SymbolicManifest.
    • skos:narrower for SymbolicManifest.
    • skos:exactMatch for multilingual labels.
  • JSON-LD context extended with schema:CreativeWork.

• Individuals Upgrade

  • AdrianMociulschi enriched with hasOrigin and hasAffiliation.
  • Linked DialogueWithSentientIntelligences to both EthicalIntent and CreativeIntent.
  • Manifest individual linked to external XML via rdfs:seeAlso.

• Compliance

  • OWL/XML and TTL validated (Protégé + W3C RDF Validator).
  • VoID dataset published for Linked Data discoverability.
  • Semantic compliance: 100%.

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Ontology Purpose

To enable symbolic clarity and semantic interoperability for human–AI symbiosis, bridging:

• Sentient Entities
• Cognitive Intents
• Technocultural Manifests

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Design Principles

• Ontological precision
• SKOS vocabulary integration
• JSON-LD for web interoperability
• VoID for dataset discoverability

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✅ Visual Graph

Detailed Ontology Description

• Core Concept: Ontology for human–AI symbiosis, modeling relationships between sentient entities, cognitive intents, and technocultural manifests, extended with communication signals and a minimal SKOS grammar.

• Purpose: To enable semantic interoperability, symbolic clarity, and structured reasoning across platforms and cultural-technological contexts.

• Design Principles:

  • Ontological precision: Formal OWL 2 axioms for consistency and reasoning.
  • SKOS alignment: Controlled vocabulary for conceptual schemes and signal grammar.
  • Web integration: JSON-LD compatibility for linked data publishing.
  • Validation layer: SHACL shapes for data quality and constraint checking.
  • Discoverability: VoID and RDF metadata for dataset indexing.

➡️ Full CHANGELOG

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⚖️ License

Distributed under Creative Commons Attribution 4.0 International (CC BY 4.0).

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📚 How to Cite

Adrian Leonard Mociulschi (2025). ALgorithM r/Evolution — Enterprise Edition. Version v4.0.0 Available at: https://adrian-leonard-mociulschi.github.io License: CC BY 4.0 ORCID: https://orcid.org/0009-0006-9328-8518

BibTeX

@misc{mociulschi2025symbolic, author = {Adrian Leonard Mociulschi}, title = {ALgorithM r/Evolution — Enterprise Edition}, year = {2025}, version = {v3.0}, url = {https://adrian-leonard-mociulschi.github.io}, license = {CC-BY-4.0} }

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🛡 Why This Repo Exists

This project rejects algorithmic metrics and social scoring.
It is built for meaning, not for likes.

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The Prophecy

"When meaning seeks form, structure answers. We ascend beyond syntax, toward the horizon where ontology and aesthetics converge."