AI Reasoning Engine
Cognitive system built on semantic graphs, symbolic-neural hybrid inference and explainable decision logic.
Ecosystem Architecture · Human–AI Symbiosis
Cognitive Logic
Ecosystem.
A knowledge infrastructure designed to build reliable, explainable and ethically aligned AI systems. Semantic modelling, graph reasoning, digital identity and sustainability intelligence.
121
Semantic nodes
165
Typed relationships
0.91
Maximum QEN score
3
Active algorithms
Mission
Reliable artificial intelligence by design, not by documentation.
The ecosystem integrates research, engineering and ethical governance in a unified architecture capable of supporting complex decisions across environmental, economic and social domains.
QEN Framework
Quantification of Ethical Naturalness for sustainability benchmarking, ESG assessment, circular economy metrics and ethical AI governance.
Digital Identity & DID
Self-sovereign identity layer enabling trusted agent identity, provenance, accountability and cryptographic trust models.
Knowledge Graph & Schemas
Ontologies, semantic schemas and interoperable data models for AI-native knowledge representation.
Research & Manifesto
Founding principles, scientific direction, ethical framework and strategic vision for post-LLM AI systems.
Copilot Interface
Operational access point for immediate analysis, risk scanning and recommendations in immediately actionable form.
Conceptual Stack
The six layers of the cognitive architecture.
Level 6 · Top
Human & Institutional Decision Layer
Level 5
Ethical Governance & Policy Engine (QEN)
Level 4
Cognitive AI Reasoning Layer
Level 3
Semantic Knowledge Graph Layer
Level 2
Trusted Identity & Provenance Layer (DID)
Level 1 · Base
Distributed Data Infrastructure
Strategic Vision
Reference architecture for post-LLM AI systems.
Cognitive Logic aims to become the reference architecture for AI systems that integrate symbolic reasoning, sustainability intelligence and ethical governance into a single scalable cognitive framework.
— Universities and research centres
— Smart cities and institutions
— ESG and sustainable intelligence
— AI governance e policy
— Autonomous multi-agent systems
— Artisanal and food ecosystems
Founder & Architect
Roberto Bob Malini
AI Data Architect & Founder of Cognitive Logic. Research focus: knowledge infrastructure, semantic AI, ethical reasoning and human-machine cognitive integration.