Complex Adaptive Systems
A Complex Adaptive System (CAS) is a system which is composed of very many interacting components or agents. Generally speaking, the behaviour of these individual agents is simple, local, and well defined. However, the global or emergent behaviour of the system as a whole can be very complicated and may appear to exhibit some form of intelligence or ability to adapt or react to changes in the environment.
Examples of Complex Adaptive Systems abound in the natural and synthetic world. Examples include markets, economies, societies, brains, cities, ant colonies, telecommunications networks, and immune systems, to name but a few.
The CAS Groupís current and past projects are all concerned with complex adaptive systems and machine learning. Generally, the focus has been on Genetic and Evolutionary Algorithms, Neural Networks, and Simulated Annealing.
The goal has been to develop theories of complex systems and tools for studying complex systems. These projects deal with a range of applications including brain computer interfaces, new distributed evolutionary algorithms, bio-inspired algorithms for optimisation in logistics and computational intelligence in financial applications .