The aggregate motion of a flock of birds, a herd of land animals, or a school of fish is a beautiful and familiar part of the natural world... The aggregate motion of the simulated flock is created by a distributed behavioral model much like that at work in a natural flock; the birds choose their own course. Each simulated bird is implemented as an independent actor that navigates according to its local perception of the dynamic environment, the laws of simulated physics that rule its motion, and a set of behaviors programmed into it... The aggregate motion of the simulated flock is the result of the dense interaction of the relatively simple behaviors of the individual simulated birds.

Reynolds, C.W., Computer Graphics 21 4 (1987), pp 25-34

Boids is a basic model of the flocking of birds, based on three rules that govern an individual bird's flight trajectory, which ultimiately leads to overall emergent behaviour of the flock:

1. Birds tend to fly towards the middle of the overall flock.
2. Birds don't want to fly too close to neighbouring birds.
3. Birds tend to match flight speed with nearby birds.

The original boids code is taken from the bad-boids github repository, which in turn comes from the UCL Research Software Engineering course

This package runs on Python 2.7.

To install via pip:

pip install git+https://github.com/thaole16/Boids.git

To install directly:

1. Download the package
2. Navigate to the Boids folder where setup.py is located
3. Run:

python setup.py install

If you want to run the testing, download the package, navigate to the Boids folder where setup.py is located and run:

python setup.py test

Testing is done using the nose test suite.

This package is called using

boidsflock

which will bring up an animation of a flock of boids flying around.

In order to change the model parameters, a YAML configuration file can be given. For example:

boidsflock --config myconfig.yml

Furthermore, it is possible to save the output animation, in format --saveto [filename]. For example,

boidsflock --saveto animation.mp4

These can be combined, i.e.:

boidsflock --config myconfig.yml --saveto animation.mp4

boid_count: defines the number of boids in the model

x_positions: the lower and upper limits of the initial x positions of the boids

y_positions: the lower and upper limits of the initial y position of the boids

x_velocities: the lower and upper limits of the initial x (horizontal) velocities of the boids

y_velocities: the lower and upper limits of the initial y (vertical) velocities of the boids

move_to_middle_strength: the tendency of the boids to fly towards the middle

alert_distance: the range within which boids will try to avoid other boids

formation_flying_distance: the range within which boids will want to match speed with other boids

formation_flying_strength: the tendency of the boids to match their velocity with surrounding boids

xlim: the x (horizontal) bounds of the animation shown on screen

ylim: the y (horizontal) bounds of the animation shown on screen

frames: the total number of frames from the animation that will be saved

interval: delay between frames (in milliseconds)

Here is an example yml configuration file (with default values given):

Boids_Setup:
  boid_count: 50
  x_positions: [-450,50.0]
  y_positions: [300.0,600.0]
  x_velocities: [0, 10.0]
  y_velocities: [-20.0, 20.0]
Flock_Dynamics:
  move_to_middle_strength: 0.01
  alert_distance: 100
  formation_flying_distance: 10000
  formation_flying_strength: 0.125
Axis_Limits:
  xlim: [-500, 1500]
  ylim: [-500, 1500]
Animation:
  frames: 50
  interval: 50