Artificial Intelligence, Random Forests, and Genetically Engineered Rule-Sets: Promising Intersection for Hybrid AI Systems

11 Pages Posted: 13 May 2011 Last revised: 5 Sep 2011

Date Written: May 12, 2011

Abstract

The aim of this paper is to relate the random forest algorithm to both natural and artificial Intelligence. The success of Random Forests is noteworthy and understanding/framing random forests as a form of intelligence will help further the progress of the study of intelligence across disciplines. As part of this effort recent related work is reviewed and a suggestion for a hybrid artificial intelligence system is proposed.

Keywords: Random Forests, Evolutionary Ecentralized Intelligence, Sense-Making, Rule Sets

Suggested Citation

Sharma, Dhruv, Artificial Intelligence, Random Forests, and Genetically Engineered Rule-Sets: Promising Intersection for Hybrid AI Systems (May 12, 2011). Available at SSRN: https://ssrn.com/abstract=1839969 or http://dx.doi.org/10.2139/ssrn.1839969

Dhruv Sharma (Contact Author)

Independent ( email )

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

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