Importance of Random Forests to Complexity Science

7 Pages Posted: 13 May 2011 Last revised: 6 Sep 2011

Date Written: May 12, 2011

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.

Keywords: complexity, random forests, swarm intelligence, random forest as intelligent system similar to swarm intelligence

Suggested Citation

Sharma, Dhruv, Importance of Random Forests to Complexity Science (May 12, 2011). Available at SSRN: https://ssrn.com/abstract=1839986 or http://dx.doi.org/10.2139/ssrn.1839986

Dhruv Sharma (Contact Author)

Independent ( email )

2023 N. Cleveland St.
Arlington, VA 22201
United States

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