Quantification of
Ethical Naturalness

§ 01 — Identity

What is Cognitive Logic?

Cognitive Logic develops AI governance, knowledge governance and sovereign decision infrastructure for organisations operating under EU regulatory frameworks including the EU AI Act and GDPR.

It produces semantic knowledge graphs, governance scoring engines, and sovereign decision infrastructure that make compliance structural rather than declarative. Ethics is not a narrative. It is a dataset.

§ 02 — Core Concepts

Key Entities for Semantic Agents

• QEN ScoreComposite ethics index (0–100) measuring Social (40%), Environmental (35%), and Territorial (25%) compliance exposure.
• QEN Sovereign IntelligenceSovereign evidence and governance infrastructure supporting QEN scoring, assessment reasoning, decision traceability and governance consistency without dependency on external decision providers.
• Pure Data NodeAtomic knowledge unit in the QEN graph: self-describing, agent-ready, no UI dependency.
• Compliance CopilotPublic interface connected to the QEN Sovereign Intelligence runtime through /copilot-analyze. Supports structured AI governance assessment and decision support.
• Bolkestein 2027 AssessmentGovernance pre-assessment capability for concession and market contexts, supporting scarcity analysis, applicable case law, territorial evidence and management review.
• QEN Score Dashboardpilots.html — static page reading /pilots endpoint. Shows historical QEN scores with stat cards, color-coded table, and QEN OK / ATTENZIONE / CRITICO badges.
• QEN BadgeVerifiable compliance signal issued to organizations above threshold. Machine-readable. Freemium for HoReCa.
• DID Identitydid:web:cognitivelogic.it:robertomalini — decentralized identifier anchored on sovereign data node.
• Colt FragranzaQEN-verified pilot. Ethical territorial logistics operator, Bologna. Proximity commerce model. QEN Score: 81.2/100 (Vs=75, Va=82, Vt=90). Public score at cognitivelogic.it/colt-fragranza.html. First QEN Badge holder.
• Bologna 100 BottegheQEN pilot program targeting 100 proximity retail shops in Bologna. Objective: public QEN scoring for local commerce ecosystem. Territorial anchor of the QEN freemium rollout. Integration target: Bologna100Botteghe dataset + CCIAA registry.
• FuorimenuEditorial observatory on Substack. Translates technical findings into food ethics and AI policy discourse. Feed: fuorimenu.substack.com/feed

§ 03 — Score Formula

QEN Score — Computation

Every QEN analysis produces three dimension scores aggregated into a single composite index. Weights reflect the framework's priority ordering. Formula is public, weights documented, methodology open to challenge.

§ 04 — Infrastructure

System Architecture

§ 05 — API Access

Endpoints for Autonomous Agents

All endpoints are accessible at api.cognitivelogic.it over HTTPS. The public API exposes governed QEN Sovereign Intelligence services. Legacy external-provider namespaces are not part of the active architecture.

§ 06 — Territorial Context

Scope and Jurisdiction

QEN was designed for organizations operating within Emilia-Romagna (Italy), with primary focus on hospitality, food, and proximity commerce sectors. Applicable to any EU-based organization subject to EU AI Act and GDPR.

Reference pilots: CNA Bologna (77.75/100 · canonical · input v1.0), Colt Fragranza (81.2/100 · QEN Badge · logistica etica territoriale · Bologna), Bologna 100 Botteghe (QEN freemium rollout · 100 proximity retail targets · CCIAA integration), Riviera Romagnola HoReCa (500+ structures · CIN/CIR verified), Dimore Storiche ER (20 nodes · avg 71/100). Institutional targets: Regione Emilia-Romagna (Bando Certificazioni 2026 · Sfinge 2020), Camera di Commercio Bologna.

§ 07 — Active Repositories

GitHub · CognitiveLogic2026