Importance of Random Forests to Complexity Science

Abstract

The aim of this paper is to relate the random forest algorithm to complexity science. The success of Random Forests is noteworthy and an early success in terms of application of complexity science. Random forests are able to generate successful intelligent and robust predictions by generating complexity using a simple approach which yields scientific insights to complex phenomena. Understanding random forests as a form of complexity based intelligence will help further the progress of the study of complexity science and intelligence across disciplines.