WICI Talk - Simulation-Based Engineering of Complex Systems
Simulation-Based Engineering of Complex Systems
This introduction treats complex systems as interacting, concurrent processes and introduces a method, a graphical system description language, and a computer-aided design tool for analyzing them. It demonstrates the effectiveness of the approach through several illustrative examples.
The toolset used, ExtendSim with the OpEMCSS library, gives systems practitioners the ability to experiment with complex, context-sensitive interactions and quickly build a model. The emphasis is on complex systems design, analysis, and evaluation rather than on programming details or writing extensive code.
ExtendSim + OpEMCSS can be used in any field that is concerned with entities that perform a set of tasks that lead to satisfaction of a measurable goal that may or may not be explicitly known or stated. Such fields include project management, systems engineering, software engineering, industrial engineering, business organizations, societal systems and sociology, biological and ecological systems, economic systems, and others. Thus, this tutorial is designed for a broad spectrum of people who wish to gain an understanding of complex systems and MBSE. It will be shown that, although complex systems have behaviors that are often difficult to understand, the underlying ExtendSim +OpEMCSS modeling building blocks comprising a complex system model are simple and easy to understand.
This introduction is structured so that while it will be relevant to advanced practitioners, no particular technical background is required. The only prerequisite is a strong capacity for problem solving. As such it is an excellent introduction for those new to complex systems modeling.
The lecture will be followed by a day long course on “Simulation-Based Engineering of Complex Systems” on Thursday, October 7.
Speaker Profile: John R. Clymer
John R. Clymer obtained his Doctor’s degree in Electrical Engineering from Arizona State University in 1971. He is an professor emeritus of electrical engineering at California State University Fullerton (CSUF). He consults on a regular basis in the area of systems engineering (mission analysis and conceptual systems design), simulation, and artificial intelligence. In addition to consulting, he has presented numerous lectures and technical courses throughout the United States and abroad. His expertise includes computer engineering, system control, continuous systems simulation, operational analysis and DES simulation, optimization and mathematical programming, and artificial intelligence (fuzzy logic and control, neural networks, and expert systems). Dr. Clymer's current research is focused in the area of intelligent-systems design, including multi-agent systems (SOS and NCO), and Simulation- Based Systems Engineering (SBSE) methods, applying integrated simulation, artificial intelligence, reinforcement learning, and evolutionary programming methods to advance the state of technology in those methods and the of SOS and NCO. He is a member in good standing of IEEE and INCOSE, and he is an INCOSE fellow.