It can be hard to find great live visualizations of the Genetic Algorithm, which is a popular and well studied method for providing adaptation to a Complex Adaptive System, but this is a superb example. Created by Rafael Matsunaga, this “Genetic Algorithm 2-D Car Thingy” simulation takes polygons of varying parameters (initialized randomly) and gives each two “wheels” of varying sizes. All of the “cars” are dropped in to the environment and the most fit cars are selected for the next round.
Complexity Science is a relatively new approach to understanding the systems in our lives. Complex systems and complexity science deal with systems that cannot be easily/perfectly predicted (such as the movement of the planets or the weather) or simplified down to a probability (such as flipping a coin or describing the behavior of gas molecules in a room).
In the realm of Complexity Science, many people talk about how things are “Complex” but they aren’t “Complicated”. The problem is that the two terms can be hard to distinguish.