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

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Authors: Ilyes Tarik MAZARI, Yanis Mazari, Ilyan Mazari
Cited by: 0

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: ilyesmazari@hotmail.com.

Fields of Study & Subjects

Psychiatry Mental Health Neuroscience Artificial Intelligence Applications Logic Reasoning and Knowledge

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 March 2026
Language
EN