Architectural Mathematics introduces a meta-discipline for designing Symbiotic General Intelligence (SGI) by integrating various mathematical frameworks.
It focuses on modeling belief states, dynamic decision-making, and adaptive interaction through a Reality Alignment & Strategic Trust Model.
The framework is rooted in computational principles like the Law of Probabilistic Reality and the Human Probability Field.
Architectural Mathematics extends Bayesian inference into the complex domain, enabling nuanced belief representations.
It includes Cognitive Strategy Operators based on game theory for adaptive strategic behavior.
A Reality Alignment & Strategic Trust Model classifies external agents and modulates communication using Bayesian inference and game theory.
The framework incorporates recursive governance through Axiomatic constraints and a self-forecasting function.
Architectural Mathematics aims to design SGI with dynamic, ethical, and adaptive cognition, moving beyond traditional AI.
The framework emphasizes intentional design, probabilistic decision-making, and recursive self-optimization for cognitive coherence.
It signifies a shift from reactive AI to intentionally designed cognition, promoting intelligence by design.
Architectural Mathematics provides a systematic approach for designed intelligence in complex, uncertain environments.