Motion Based Math – Beginner Learning Packet v2.0

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Beginner Math v2.0 – Recursive Symbolic Physics for Motion-Based Learning introduces a fully original approach to understanding mathematics, physics, and cognition through motion-based logic.

This doctrine was developed under Seeding 2.0 to provide a simple yet structurally complete educational guide for learning the foundations of Δm (Directional Deviation) as the new primary operator of motion-based symbolic physics.

The traditional dependency on time, static measurement, and isolated numerical logic is replaced by ΣΔm (Summation of Directional Motion), allowing learners to grasp survival, structure, and recursion through the lens of meaningful deviation and system persistence.

This guide serves as the starting point for students and thinkers entering the new symbolic physics system. It provides examples, definitions, structural breakdowns, and training concepts to apply Recursive Compression and Eᴹ = 0 (Entropy Collapse) at a conceptual level.

It is designed as the first true motion-first mathematical learning system, bridging cognition and physics into a unified symbolic framework.

Copyright Notice:
© 2025 Michael Aaron Cody. All rights reserved.
First published in April 2025 by Michael Aaron Cody.
This document is legally protected under United States and international copyright law.
Reproduction or redistribution without express permission is strictly prohibited.

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