Conceptual Cryptography & Representation

This project explores computation as a way of representing ideas, rather than just numbers. Instead of treating values as fixed quantities, it investigates how functions, symbols, and rules can define expansive “idea spaces” — where meaning emerges from structure rather than magnitude.

The work draws inspiration from areas like cryptography, information theory, and symbolic reasoning, but approaches them from a more conceptual angle. It asks how abstract concepts can be encoded, transformed, and expanded through computation, even when those concepts are not easily measurable in traditional numeric terms.

At its core, this project is a study of representation. It treats computation as a language for expressing thought, and explores how simple rules can unfold into vast expressive spaces that mirror the way ideas themselves grow and interact.

Alex Stevovich is an independent polymath guided by a self-directed perspective. His projects focus on original content and innovation developed through discovery-driven work grounded in first-principles thinking.