Cognitive Engine Wiki
Welcome to the Cognitive Engine project documentation. The Cognitive Engine is an AI system with explicit, persistent, and inspectable thought formation.
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Overview
The Cognitive Engine transforms AI from answering to thinking, from reacting to reasoning, from output to cognition. It implements a sophisticated cognitive architecture with:
- Explicit Thought Formation: Thoughts are structured objects with state, history, and evaluative properties
- Three-Layer Memory: Episodic (raw events), Pattern (structure extraction), Rule (learned strategies)
- Meta-Cognition: Oversight layer governing thinking depth and stopping conditions
- Controlled Evolution: Self-modification with A/B testing, evaluation, and rollback capability
- Cognitive Telemetry: Real-time dashboard observing thought formation
- Autonomous Agent: Goal-driven behavior with tool execution capabilities
Key Features
Thought Objects
Thoughts are first-class objects with:
- Unique identifiers
- Premise (core hypothesis)
- Confidence scores
- Parent/child relationships
- Evaluation history
- Weakness tracking
- Revision lineage
Cognitive Layers
- Interpreter: Input → Structured Meaning
- Generator: Create Thought Candidates
- Deliberator: Evaluate + Evolve Thoughts
- Committer: Finalize + Express
- Meta-Cognition: Oversight and control
Memory Architecture
- Episodic Memory: Raw events and interactions
- Pattern Memory: Recurring behaviors and structures
- Rule Memory: Learned strategies and operational rules
Autonomous Agent
- Think → Plan → Act → Observe → Reflect loop
- Tool registry with safety constraints
- Goal validation and step limits
- Memory control to prevent infinite accumulation
Learning Systems
- Pattern extraction from memory
- Rule synthesis from patterns
- Knowledge injection into reasoning
- Temporal intelligence over time
Prompt Evolution
- A/B testing of strategy changes
- Performance evaluation and rollback
- Controlled mutation rate
- Global coherence validation
Dashboard
- Real-time WebSocket telemetry
- Thought visualization
- Memory growth tracking
- Strategy shift observation
- Cognitive topology display
Project Status
Version: 1.0.0
License: AGPL-3.0
Owner: Robert Trenaman
Company: (Software Customs) Auto Bot Solution
Documentation Structure
- Getting Started: Installation, configuration, and basic usage
- Architecture: System design and component relationships
- Core Modules: Detailed documentation of each module
- API: Reference documentation for public APIs
- Configuration: Environment variables and settings
- Development: Contributing guidelines and development setup
Support
For questions or issues:
- Email: autobotsolution@gmail.com
- Address: Flushing MI