ABSTRACT
This chapter seeks to articulate efforts to include this approach within the Jungian perspective. Complexity science is an amalgam of various disciplines, with origins in general systems theory, cybernetics, and dynamic, non-linear systems theory, with indirect incorporation of components from artificial intelligence, fractal geometry, and chaos theory, as well as various subspecialties that evolved in each domain. The use of networks to graphically describe amplificatory processes was initiated by Jung in the mid-1920s, the period in which Jung was giving seminars to his students. Jolande Jacobi presents an example of this in her 1942 book on The Psychology of C. G. Jung. As network science has developed and expanded over the last several decades, applications of networks to ecological systems have grown apace. The science of complexity emerged in the late 20th century, and with technological advance in information processing has expanded to become one of the most important contemporary directions in scholarly studies.
