![]() ![]() This is mainly due to the fact that the substrate left by the walkers is purely white and because walkers die as soon as they run into some aggregate.įirst, a simple solution to this problem could be to have the walkers only deposit a certain amount of substrate in their path. The main issue with the technique as it is currently described is the lack of details and depth in the outputs. Extending and generalizing to create more complexe patterns ![]() Same settings but Division Chances = 0.05 3. Higher Turn Chances result in more curvy patterns Figure 15. Initial Walkers on a circle, directed towards the centerīy increasing the turn chances, more curvy patterns emerge: SSįigure 14. The following example demonstrates, again, the impact of the initial seed on the final patterns: Figure 13. For instance, if all the walkers are set at the center, with angles pointing outwards, such patterns can emerge: Figure 12. ![]() The initial seed also has a major importance on the emerging patterns. Discrete angles during the division step, DC = 0.03 Figure 11. Increasing the division chances to 0.06īy using discrete changes in the angles during the division step, both geometric and natural patterns can be achieved: Figure10. Increasing the division chances to 0.03 Figure 9. A basic example, low Division Chancesīy increasing the Division Chances, we can increase the density of the patterns: Figure 8. The settings are the following: SSįigure 7. 10 initial walkers are distributed on a circle of radius width * 0.5, with random angles. In the following examples, the chances for an event to occur are computed as following: float r = random(0, 1) įor instance, if the chances are equal to 0.01, it means that the odds for the event related to those chances to occur are 1 to 100, at each step.
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