1999
DOI: 10.1177/003754979907200404
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Simulation-Based Engineering Of Complex Adaptive Systems

Abstract: 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 pa… Show more

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Cited by 21 publications
(27 citation statements)
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“…We then converted the two process maps into computer simulations using ExtendSim, version 7.0 (Imagine That Inc., San Jose, CA). 15 The two process flows are depicted in figures 1 and 2. For ease of exposition, it is convenient to characterize three types of patients:…”
Section: Study Methodsmentioning
confidence: 99%
“…We then converted the two process maps into computer simulations using ExtendSim, version 7.0 (Imagine That Inc., San Jose, CA). 15 The two process flows are depicted in figures 1 and 2. For ease of exposition, it is convenient to characterize three types of patients:…”
Section: Study Methodsmentioning
confidence: 99%
“…This choice would however, lead to a problem in validation since the sensed values need to be chosen arbitrarily, perhaps in the form of some probabilistic distribution [29,30]. Although probabilistic distributions are prevalent in literature, they can be used to represent simple phenomena such as arrivals, incidents of events etc.…”
Section: B Possible Modeling Approachesmentioning
confidence: 99%
“…For example, mitrochondria are believed to be primitive bacterial organisms that have become organelles within cells; cells aggregated and special-and its occurrence is a surprise when the system concept is built. This is why simulation of the entire system, operating within its operational environment, is an important part of engineering of complex systems, as well discussed by Clymer (2009).…”
Section: Central Ideas and Concepts In Complex Adaptive Systemsmentioning
confidence: 99%