A Systems Approach to the Artificial Intelligence Concept

Authors

M S S El Namaki Dean, Victoria University, School of Management, Switzerland. Dean (Retired) Maastricht School of Management, MSM, And the Netherlands.

The Artificial Intelligence, Neurons, Machine learning.

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

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