Definition:
The Computation Codex encapsulates the principles, architectures, and modalities governing the execution, transformation, and abstraction of information through computational systems. It defines the logic scaffolding of digital processes, algorithmic flows, and mathematical encoding across physical and virtual substrates.

Substructures:

• Arithmetic Logic Engines (ALEs) – Modules executing base-level operations: addition, subtraction, logic gates.
• Instructional Pathways – Ordered routines and branching logic as blueprints for CPU, GPU, NPU task flow.
• Abstract Execution Models – Turing machines, Lambda calculus, finite automata, and quantum algorithms.
• Computational Paradigms – Procedural, functional, object-oriented, declarative, and parallel schemas.
• Runtime Ecosystems – Interpretive vs compiled systems, just-in-time execution, distributed execution chains.

Integrated Links:

• Connected with the Algorithm Codex, Compiler Codex, Execution Codex, and Quantum Memory Codex.
• Serves as the dynamic layer beneath the Logic Codex, Function Codex, and System Codex.
• Feeds into applied frameworks like AI Codex, Machine Codex, and Blueprint Codex.

Protocols:

• Supports computational abstraction hierarchies: low-level machine code → mid-level abstractions → high-level languages.
• Encodes boundary rules for reversibility, error correction, determinism, nondeterminism, and entropy thresholds.
• Adapts across classical and post-classical models: binary, ternary, quantum, analog.

Applications:

• Powers everything from microcontrollers to planetary supercomputing grids.
• Enables language processing, simulation environments, intelligent systems, and recursive data engines.