Layered Recursive Simulations: Emergence, Dimensionality, and the Structure of Reality

This paper develops a framework of layered recursive simulations to explore how complex structures, dimensionality, and emergent phenomena arise in reality. By modeling interactions between simulation layers, rulesets, and host substrates, it offers insights into the dynamics underlying consciousness, multiverse theory, and the architecture of existence. The approach provides a novel lens for understanding the interdependence of layers within simulated systems and the mechanisms by which higher-order structures emerge. This theoretical model aims to bridge gaps between physics, complexity science, and consciousness studies, offering a foundation for future simulations and experimental investigations into the structure and behavior of reality. This paper benefited from AI-assisted drafting and simulations using ChatGPT and MartienAI.