Part II — The Cognitive Engine

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This section develops the full architecture of the engine, including:

• The Core Recursive Loop
  The minimal self-sustaining cycle that generates stable cognition through constant coherence checking and structural updating.
• Perceptual Binding and Boundary Mapping
  How raw inputs are compressed into structured, interpretable states without relying on imitation or statistical guesswork.
• Causal Memory System
  A memory architecture that records relationships rather than data — enabling genuine reasoning, temporal awareness, and narrative continuity.
• Internal Simulation Engine (“Dreaming”)
  A sandbox mode where the system runs counterfactual scenarios, resolves contradictions, detects potential instabilities, and strengthens long-term structure.
• Delusion Detection and Coherence Drift Monitoring
  Safety mechanisms that identify when internal models diverge from reality or from the system’s own invariants, ensuring psychological stability and ethical alignment.
• Intent Formation and Priority Architecture
  How goals, actions, and decisions arise from structural necessity rather than reward maximisation or imitation.

Together, these components form a complete operational model of synthetic intelligence: