The Code – Reverse-Engineering Human Behavior and Control
Year: 2025
Type: article
Abstract: Lawful & Predictable: An interdisciplinary research framework bridging neuroscience, control theory, and artificial intelligence. This research introduces a lawful model of cognition grounded in systems theory, neuroscience, and information processing. Instead of abstract philosophy, it emphasizes mechanisms of control, predictability, and computational constraints. The work formalizes a cognitive architecture as a lawful, dynamic control system operating under real-world energetic and informational limits. Systems-level perspective on cognition Mechanistic and predictive model of the mind Constraints from neuroscience and control theory Implications for AI and architectures of autonomous systems The architecture is intended as a conceptual and engineering framework for future work in artificial intelligence system design, alignment, and autonomous control.
Author: Ritzl, Jan Anton
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7114903650
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