YIN Mazari AI Human Reasoning Architecture: The First Multi-Modal Artificial Intelligence That Sees, Hears, Reads, Reasons About Cause and Effect, Remembers Its Experiences, Learns Continuously, Understands People, Simulates the World Before Acting, Develops Its Own Personality, and Proves Every Step with Cryptographic Certainty
Year: 2026
Type: article
Abstract: Defensive publication establishing prior art for the YIN Mazari AI Human Reasoning Architecture (USPTO 64/005,766, filed March 14, 2026; priority November 23, 2025). The architecture comprises 22 integrated modules (8 cryptographic pillars and 14 reasoning layers) solving 11 fundamental limitations of current AI. Unlike large language models that predict tokens by matching statistical patterns, this architecture reasons causally across Pearl's complete three-level hierarchy on encrypted data, remembers experiences on immutable blockchain, learns continuously with drift detection, understands people through theory of mind, simulates the world through five predictive models, develops unique personality, and proves every reasoning step through the only mathematically valid cryptographic ordering (1 of 6 proven, 99.21% accuracy at epsilon=0.94). Includes 16-capability benchmark comparison table with measured results against current AI systems. Empirical validation on real biological data. 33 USPTO filings, 3,200+ claims. Licensing: [email protected].
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7136071037
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