Systems to be developed in the future will likely be more complex than in the past. The number of behaviors a system can exhibit is one measure of system complexity. A complex system can be described as a large network of communicating subsystems. A regional or national intelligent transportation system exemplifies such a system. If each subsystem in the network adapts its behavior to collaborate with other subsystems to achieve overall goals, such a system is called a complex adaptive system (CAS). In this paper, a building elevator system provides an example CAS in which each elevator collaborates with others to optimize system performance. A context-sensitive system model that explicitly deals with the complexity of CASs is discussed. A graphical simulation language, called OpEMCSS (Operational Evaluation Modeling for Context-Sensitive Systems), assists in understanding CASs and automates most complex simulation details and semantics. OpEMCSS is distinctive from most simulation languages that have a graphical user interface in its ability to duplicate processes without having to show every instance on-screen. OpEMCSS and its use in simulation-based systems engineering of CASs are discussed.
Simulation-based engineering of complex adaptive systems
Simulation, San Diego ; 72 , 4 ; 250-260
1999
11 Seiten, 19 Quellen
Article (Journal)
English
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