Methodologies and Applications of Artificial Intelligence in Systems Engineering

(1) Awatef K. Ali Mail (National Telecommunications Institute, Egypt)
(2) * MagdiSadek Mostafa Mahmoud Mail (Control and Instrumentation Engineering Department, KFUPM, Dhahran, Saudi Arabia, Saudi Arabia)
*corresponding author


This paper presents an overview of the methodologies and applications of artificially intelligent systems (AIS) in different engineering disciplines with the objective of unifying the basic information and outlining the main features. These are knowledge-based systems (KBS), artificial neural networks (ANN), and fuzzy logic and systems (FLS). To illustrate the concepts, merits, and demerits, a typical application is given from each methodology. The relationship between ANN and FLS is emphasized. Two recent developments are finally presented: one is intelligent and autonomous systems (IAS) with particular emphasis on intelligent vehicle and highway systems, and the other is the very large scale integration (VLSI) systems design, verification, and testing.


Knowledge-Based Systems; Artificial Neural Networks; Fuzzy Logic and Systems



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International Journal of Robotics and Control Systems
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