Journal of Knowledge Management Application and Practice, An International Journal (http://dx.doi.org/10.18576/jkmap/010203)

A Systems Approach to the Artificial Intelligence Concept

M S S El Namaki, Dean, VU School of Management, Switzerland. Dean (Retired) Maastricht School of Management, MSM, Netherlands.

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.

🔴

A Systems Approach to the Artificial Intelligence Concept

一种人工智能概念的系统方法

M S S El Namaki*

瑞士维多利亚大学管理学院院长。荷兰马斯特里赫特管理学院（MSM）院长（已退休）

接收日期：2019年6月21日，修订日期：2019年7月12日，验收日期：2019年7月24日。

摘要：

对于一名初学者来说，人工智能展示出的是一种无定形的现象。本文的重点是如何将人工智能概念构建于系统框架中。

本文通过定性分析，提出了一个系统理论框架，作为人工智能结构的边界，在此边界上所有的物体都能找到其适当的位置。该人工智能系统框架具有输入、转换过程和输出，以及反馈环路。输入围绕数据和人工神经元进行构建，转换过程通过分析和学习完成。输出结果由洞察力、子系统和技术组成，基于输出结果的反馈形成了闭合系统环路。

本文为人工智能组件及其工作流程的理解提供了一种便捷式工具。这对于理解人工智能的应用及其情景相关性会有所帮助。