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Recurrence Plots reveal long-term and emergent behavior in complex systems when specific criteria are met.
—With the growing incorporation of nanomaterials into multiphase industrial processes and consumer products, methods for predicting their behavior in complex systems are in increasing demand.
A better understanding of time-constrained cascading behavior in complex systems leads to new questions.
And as scientists try to decipher the mystery of the underlying processes that lead to emergent behavior in complex systems, leaders of the world realize that the world we live in is a gigantic complex system with an increasing number of highly interconnected and interdependent environments that will certainly lead to unanticipated emergent properties.
The optimal mutation rate marked the boundary between these two phases, and was suggested by the authors to indicate a possible adaptation to "the edge of genetic disorder", implying a close relation between this result and other studies of phase transition-like behavior in complex systems, where complex behavior is found to exist at the boundary between regimes [21], [22].
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This technique may be used in Systems Engineering in such diverse areas as Systems Architecture to predict emergent behaviors in Complex Systems and Program Management to predict the long-term health of a complex project among others.
3. Complex Adaptive Systems (CAS) [ 57]: CAS theory attempts to identify general patterns of in behaviors in complex systems, including human systems.
Real-world systems are highly dynamic in both time and space and unanticipated, even counter-intuitive behavior can often arise in complex systems (cf. Forrester, 1971), because oftentimes "cause and effect are distant in time and space" (Sanders and Sanders, 2004, p3).
A random Multi-Local-World complex networks directed model is constructed to mine the evolution laws of topological properties for this complex engineering system according to the rules about what the behaviors operate in complex system is gotten by calculating the avalanche-size distribution.
An EE-based simulation method can be used to analyze the behaviors of key participants in complex systems [4, 5, 6].
As we all know, such microscopic details can and do influence macroscopic behavior of the model, especially in complex systems simulations.
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behavior in complex networks
behavior in shale systems
behavior in environmental systems
behavior in biological systems
behavior in complex situations
behavior in complex matrices
behavior in societal systems
behavior in macroscopic systems
behavior in online systems
behavior in other systems
behavior in aqueous systems
behavior in mental systems
behavior in physical systems
behavior in dynamic systems
behavior in multiorgan systems
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