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AutoBotSolutions edited this page Apr 27, 2026 · 4 revisions

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

  1. Interpreter: Input → Structured Meaning
  2. Generator: Create Thought Candidates
  3. Deliberator: Evaluate + Evolve Thoughts
  4. Committer: Finalize + Express
  5. 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:

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