Open FebNov 2021
Ground LevelLecture Gallery
Complex systems change over time, sometimes dramatically, and can lead to something entirely new and different.
There are a number of ways to describe the behaviours of complex systems, using principles like non-linearity and adaptation. We have highlighted seven important principles with seven eye-catching icons. Read on.
Changes to one part of a complex system can lead to dramatically different changes in other parts.
The butterfly effect refers to the metaphor of a tornado being influenced by minor inputs such as a distant butterfly flapping its wings several weeks earlier.
When a complex system reaches a tipping point, its state can change dramatically.
Dramatic population changes, such as an outbreak of plague-carrying rats, can result from a complex system reaching a critical tipping point.
Complex systems change to better suit the environment.
Octopus are excellent examples of adaptation, using remarkable intelligence, sight and camouflage to outsmart predators and prey.
Interactions between single parts of a complex system produce actions not able to occur by single parts alone.
Ants are autonomous units that react to, and communicate using, chemical stimuli. Despite a lack of centralised direction, ant colonies exhibit complex behaviour.
A process in which the outputs of a complex system are circled back and used as inputs.
In relationships between units (dots) within a system, outputs (lines) from one unit can feed back into itself as inputs.
Complex systems follow simple rules to reach more optimal or stable states.
Bees behave according to social rules where individuals organise themselves into colonies to care for close relatives.
As species interact in a complex system, they evolve in response to each other.
Clown fish have evolved resistance to the nematocysts and toxins of their symbiotic hosts, sea anemones.
- Leah Nolan Design