Related Experiment Videos
Generation of fractals from incursive automata, digital diffusion and wave equation systems
1University of Liege, Institute of Mathematics, Belgium. dubois@lema.ulg.ac.be
Bio Systems
|January 1, 1997
Summary
This study introduces incursion and hyperincursion for formal systems design, enabling fractal pattern generation through novel computational methods. These techniques offer new ways to model complex information and physical systems.
Area of Science:
- * Formal Systems Design
- * Computational Mathematics
- * Fractal Geometry
Background:
- * Existing formal systems design tools lack methods for complex, time-dependent behaviors.
- * Fractal patterns and self-referential systems are areas of interest in both information and physical sciences.
Purpose of the Study:
- * To introduce and apply the concepts of incursion and hyperincursion as novel modeling tools.
- * To demonstrate the generation of fractal patterns using these new methods.
- * To explore the application of these concepts in formal systems design for information and physical systems.
Main Methods:
- * Application of incursion and hyperincursion to a fractal machine (hyperincursive cellular automata).
- * Utilizing sequential computations with exclusive OR and incorporating future time steps.
- * Generating fractals through scaling symmetries, holographic-like simulations, and digital diffusion/wave equations.
Main Results:
- * Successful simulation and generation of fractal patterns using the incursion/hyperincursion model.
- * Demonstration of fractal generation with varying scaling symmetries and self-referential properties.
- * Fractals generated from image interference and digital equations, showing complex pattern formation.
Conclusions:
- * Incursion and hyperincursion provide a powerful framework for modeling complex systems and generating fractals.
- * The methods offer a new perspective on self-referential systems and their relation to hypersets.
- * These tools have practical applications in the design of information and physical systems.