Why is chaos theory important in business and generalized Ai

Chaos theory is a type of mathematics used to explain complex behavior of nonlinear systems. Nonlinear dynamic systems are systems that, like weather, move, grow, or change. It's difficult to predict the outcome of future state of a nonlinear system, because the variables are interacting and changing constantly in response to each other. Most of the world is made up of nonlinear systems. A predictable attractor is the end state into which a system settles. For example a handful of marbles thrown into a bowl settle at the bottom, the attractor. A chaotic system that never settles into a predictable or steady state are said to be strange attractors. A tornado is an example of an energy system held together by a strange attractor. No external container or funnel gives a tornado its unique form. The strange attractor coalesces the energy and creates the system boundaries, while at the same time allowing dynamic activity within its boundaries. Strange attractors have an unique shape and form. A nonlinear system responds to changes in itself through a type of feedback loop, set in motion by the butterfly effect. Through this process, small changes can produce complex results. Complex adaptive systems are characterized as non knowing the initial conditions at any point in time and their existence depends on the steady flow of information and are constantly processing/changing and incorporating new information. Complex adaptive system sit on the boundaries of chaos and order.