Recovered System Architectures &
AST Reasoning Engines
Cangjie-Deconstructor Extraction Pipeline
Searchable catalog of formal computational architectures extracted from scientific literature and heterogeneous knowledge bases. Each entry represents an invariant AST node decomposition and reusable reasoning primitive.
Wiener Bayesian Control Compiler
A reasoning engine that models intelligence as recursive Bayesian estimation under feedback. Derived from Norbert Wiener's cybernetic framework, it treats all cognition as state estimation with error correction. The system observes, predicts, acts, measures error, and updates — continuously closing the loop between model and world.
Von Foerster Cybernetic Reasoning Engine
A second-order cybernetic reasoning system where the observer is part of the system being observed. Derived from Heinz von Foerster's work on self-referential systems, it models intelligence as recursive self-observation leading to self-modification. The system does not merely compute — it computes about its own computing.
GASOIRE
Galilean-Aristotelian-Sampling-Observational-Inductive Reasoning Engine. A computational model of the scientific method itself: from observation through measurement, hypothesis formation, experimentation, and model update. It encodes the invariant structure of empirical discovery across all scientific domains.
Cartesian Generator
A decomposition-recomposition reasoning engine derived from Descartes' method of analysis. It dissolves complex problems into primitive components, identifies the irreducible elements, and reconstructs the system from foundations. The core operation is systematic decomposition until only self-evident truths remain.
Tesla Autonomy-Dissolver Reasoning Engine
A reasoning engine that discovers hidden constraints by systematically removing assumptions. Derived from Nikola Tesla's method of imagining fully realized systems and working backward to identify every required condition. It dissolves the apparent autonomy of phenomena by revealing the constraint structure beneath.
Leonardo Design Laboratory
An evolutionary architecture discovery engine modeled on Leonardo da Vinci's iterative design process. It generates multiple architectural candidates, evaluates them against criteria, selects survivors, mutates them, and archives results. The core operation is variation → evaluation → selection → mutation, applied recursively to architecture space.