Something with many parts in intricate arrangement. Increasing complexity is one of the most common characteristics of any trend. As systems get so complex that previous rules no longer apply, the system seems unintelligible because we are using the old rules to try and understand its changes. Complexity in systems or behavior can be described as “the edge of chaos” – between the order and unpredictability of the behaviors of a system. There is complexity, explains Edgar Morin, when different constitutive elements of the system (economic, or political, emotional, mythological, etc.) are inseparable and there is an interdependent network, interactive or inter-retroactive, between the object of knowledge and its context, the parts, and everything, between the parts. The complexity is indeed the link between the unity and the multiplicity. Chart from: http://upload.wikimedia.org/wikipedia/commons/2/25/Complexity-map_Castellani.jpg Note to the reader: This chart can be expanded to help read. Complexity science studies complex systems including artificial science producing genetic algorithms, and develops complexity theories such as chaos theory. It sometimes refers to systems with "sensitive dependence on initial conditions." Computational complexity theory is a field in theoretical computer science and mathematics dealing with the resources required during computation to solve a given problem. Systems theory (or systemics or general systems theory): an interdisciplinary field including engineering, biology, and philosophy that incorporates science to study large systems.
