Antireductionism “advocates that not all properties of a system can be explained in terms of its constituent parts and their interactions” [Wikipedia]. It stands opposed to reductionism, the approach typical of the Industrial Age, which considered that the behavior of entire systems can be explained completely by a description of their individual constituent parts and their interactions.
Already the philosophers of Enlightment struggled a bit with reductionism that was contradicting our free will. Still, the mechanistic view of reality dominated science and our understanding of the world until far into the 20th century.
Today in many areas such as chaos, systems biology, evolutionary economics, and network theory, we know that complex, unpredictable behavior arises from large collections of simple components.
“By the mid-twentieth century, many scientists realized that such phenomena cannot be pigeonholed into any single discipline but require an interdisciplinary understanding based on scientific foundations that have not yet been invented. Several attempts at building those foundations include (among others) the fields of cybernetics, synergetics, systems science, and, more recently, the science of complex systems.” writes Melanie Mitchell in ‘Complexity: A Guided Tour‘.
The study of complex systems is an emerging and still very incomplete science. It is the hallmark of the Collaborative Age.