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Az Symmetry Filtering: A Foundational Architecture for Self-Regulating Intelligence
- Az Symmetry Filtering is a cognitive architecture focused on self-regulating intelligence.
- The framework aims for a balance between grounding and abstraction in cognition.
- It incorporates a layered design inspired by symmetry, energy efficiency, and self-correction.
- The 'Az' point represents the balance between empirical sensory input and high-level reasoning.
- The architecture consists of three key layers: Symmetry Filtering, Curved Cognitive Dynamics, and Meta-Cognitive Monitoring.
- Symmetry Filtering removes noise and distraction, allowing meaningful data to pass through.
- Curved Cognitive Dynamics help maintain stable memory states and provide recovery mechanisms.
- Meta-Cognitive Monitoring tracks confidence, logic consistency, and alignment for self-assessment.
- Core principles include valuing symmetry in knowledge, curved thought dynamics, humility, gatekeeping, and guided cognitive effort.
- Potential use cases include robotics, cognitive assistants, explainable AI, and generative models.
- The creator plans to open-source parts of the architecture and is seeking collaborators for further development.
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