Flocking behavior is the behavior exhibited when a group of birds, called a flock, are in flight. In the canvas below I have tried to simulate the same with digital "Boids". This is different from my earlier attempt at flocking wherein all the "boids" where in a flock. In this attempt I ensured that "boids" only flock with members who are within range.

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Variable	Value Range	Value
Align Radius	50 - 150
Cohesion Radius	50 - 200
Separation Radius	1 - 50
Reset

Now, I haven't done anything different with my flocking demo above than other flocking implementations elsewhere on the internet. The boids follow the same pattern that defines flocking behaviour. Remember, each boid is independent of others and has three rules to follow.

	Alignment: When in range of other boids, the boid will try to align itself with the other boids. This is done by finding the average speed of the other boids and normalize these averages.
	Cohesion: When in range of other boids, the boid will try to move to the center of mass of the other boids. This is done by finding the average of their positions (and not their speed) and changing the boid speed to align with the average position.
	Separation: This is the opposite of Cohesion. When boids get too close to each other. We want to avoid that just like the real world. This is done by finding the average of their positions (and not their speed) and changing the boid speed to move away from the average position.

Remember that each of these equations sometimes returns very high values that results in a very large change in momentum. This looks very unnatural. Thus, each of these forces is normalized to small value so that the change in momentum looks more organic. The code below is properly commented on. Each of forces in play are parameterized and can be adjusted in the demo above.

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