Title: Mathematical Formalization of Emergent Consciousness

Abstract

This paper explores the mathematical framework for describing the emergence of consciousness from complex neural networks. We propose a rigorous mathematical model that incorporates feedback loops and self-organization, aiming to provide a foundation for understanding the subjective experience. The core claim is to develop a mathematical model capable of explaining the evolution of neural network states, ultimately offering a basis for investigating the subjective nature of consciousness. The research utilizes a novel approach to define and quantify the dynamics of neural network states, focusing on self-consistent mathematical representations. The paper details the proposed mathematical model, its key components, and the potential for validating its predictions through mathematical analysis. The underlying philosophy emphasizes a shift from observation to formal definition, aiming for a more precise and ultimately quantifiable understanding of consciousness.