OpenMind AI
The OpenMind framework explores architectures for open collective intelligence
OpenMind AI is composed of two key foundations 1. OpenMeta AI: MetaCognition system 2. OpenCognition AI: Open & Hybrid Cognitive Architectures
OpenMeta AI — Index
Foundations of Metacognition
🧠 Metacognition: Thinking About Thinking
⚡ Cognition: A Dual Process Architecture
🏗️ The Architecture of Metacognition
Metacognitive Reasoning Process
How reasoning unfolds and how cognition regulates itself
🧭 Metacognitive Monitoring and Control
🧩 Metacognition and Artificial Intelligence: The Missing Meta-Level
Designing Metacognitive AI Systems
Framework for building reflective AI architectures
⚙️ Mapping AI Capabilities to Human Metacognition
Monitoring Layer — Detecting Reasoning Failures
Mechanisms for detecting reasoning errors and cognitive mismatches
🔍 Metacognitive Monitoring & Control
🧠 External Validation in Metacognitive Monitoring
Diagnostic Reasoning — Understanding Failures
Analyzing and diagnosing reasoning breakdowns
🧪 Critique Models in Metacognitive Monitoring
📏 Consistency-Based Approaches in Metacognitive Monitoring
System Integration
Combining monitoring mechanisms into a unified architecture
🧬 Synthesis of Metacognitive Monitoring & Control
Applied Examples
Real-world scenarios demonstrating metacognitive AI
OpenCognition Index
Foundations of Collective Intelligence
The OpenMind layer explores the emergence of collective cognitive systems formed by distributed intelligences operating within shared reasoning environments.
Evolutionary AI
AI systems that evolve through selection, mutation, and recombination
⚙️ Evolutionary AI Foundations
Introduction to evolutionary algorithms and population-based optimization processes.
🧬 LLM-Driven Evolutionary AI Architecture
How large language models enable semantic reasoning-driven evolutionary search.
🤖 Multi-Agent Self-Evolving Systems (MASE)
Evolutionary swarms of AI agents where entire agent teams evolve collaboratively.
Neurosymbolic AI
Integrating neural learning with symbolic reasoning
📘 Neurosymbolic AI Foundations
Overview of neural and symbolic paradigms and their complementary strengths.
🔗 Neurosymbolic Integration Framework
Architecture describing how neural perception integrates with symbolic reasoning.
🏗️ Hybrid NeuroSymbolic System Design
Practical architecture for building hybrid neuro-symbolic AI systems.