Many of our most pressing challenges, like managing ecosystems and economies, or preventing mass epidemics and market crashes – require a better understanding of complex systems. In recent years, the science of “complexity” came into existence and has grown rapidly. “Complexity” has a precise meaning in science. We call a system “complex” if the whole transcends the parts and if multiple agents participate in it. Most complex systems consist of diverse entities that interact in space and in time; they can be real or virtual. Examples of complex systems are ecosystems, cities, universities, or the stock market. Systems that are merely based on a feedback loop, like automatic temperature regulators, are not complex. Complicated systems are also not necessarily complex. Complicated systems may have diverse parts or many variables, but they are not adaptive.
We are currently experiencing a paradigm shift in scientific thinking and explanation, away from reductionist and constructivist approaches. This shift is the result of the introduction of computers and the internet. Scientific researchers are now capable of collecting and processing much more information than ever before, and advanced modeling techniques allow them to develop and test scientific theories in ways […]