Algorithmic Self-Organization via Wave Function Collapse

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper explores the application of wave function collapse as a novel algorithmic framework for promoting self-organization within complex systems. Traditional approaches often involve explicit control and manipulation, while this work proposes a method that leverages the inherent probabilistic nature of wave function collapse to guide system evolution towards stable states. The core mechanism involves continuous collapse of the system's wave function, triggering a cascade of transformations and ultimately driving the system towards a predetermined configuration. We present a preliminary implementation demonstrating the effectiveness of this approach in a simplified, yet illustrative, example. The paper discusses the theoretical underpinnings of wave function collapse, its potential applicability to various systems, and future directions for research.

DOI: 10.5281/zenodo.22222791

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