Tag: artificial-intelligence
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Deterministic Reasoning as Infrastructure, Not Intelligence
Modern AI systems face challenges in safety-critical contexts due to non-determinism and irreproducibility. This post proposes deterministic reasoning engines as infrastructure beneath probabilistic models, enabling reproducibility, auditability, and provider independence. The authors argue for the importance of deterministic systems in developing governable AI, significantly impacting future technology deployment and compliance.
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‘igh five!
I⁵: A Process-Tree Framework for Human and Machine Learning David S. Carr (Author)December 2025 Abstract This paper introduces I⁵, a five-stage Process-Tree Learning Framework designed to model, optimize, and formalize human and machine concept acquisition. Unlike traditional linear learning models, I⁵ operates as a deterministic state machine with reversible transitions and internal checkpoints, enabling recursive…
Secret Chord 