A Systems Approach to the Artificial Intelligence Concept

Abstract

To an entrant, Artificial Intelligence (AI) constitutes an amorphous phenomenon.  Ways and means of containing this concept within a systems framework is the focus of this article.

The article resorts to qualitative analysis as a medium.  It advances a systems theory framework as the boundary for an AI structure where all things would fall in place. The article suggests a framework where an artificial intelligence system has inputs, transformation processes and an output. A feedback loop as well.  The inputs are built around data and artificial neurons. Transformation is done through analysis and learning. And the outcome is composed of insights, sub-systems and technologies. Feedback built on the outcomes completes the system loop.

The article provides a convenient vehicle for understanding of the components of artificial intelligence and their flow. It could be useful into understand AI applications and their situational relevance.