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FESs have proven to be an important tool for modeling complex systems, in which, due to the complexity or the imprecision, classical tools are unsuccessful.
"Physicists have a lot of experience in modeling complex systems.
Firstly, cell-based systems are known for the ease in modeling complex systems.
The third part deals with modeling complex systems with a large number of variables.
Cell-based systems have proven to be very effective for modeling complex systems involving spatial considerations (Mitchell 2009).
Likewise, composite likelihood is suggested as a promising method for modeling complex systems.
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The modeling software STELLA, a program designed specifically for modeling complex system dynamics, was adopted as the modeling platform for this study.
Rest of the paper is organized as: An introduction to modelling complex systems is presented in next subsection.
The ABM paradigm is a computational method to model complex systems through the collective interaction of autonomous entities.
The WCM has powerful inference properties and can model complex systems using their underlying causal relationships.
The aim of the paper is to show how to model complex systems in bond graph domain.
More suggestions(15)
modeling nonlinear systems
modeling dynamical systems
modeling complex phenomena
modeling complex data
modeling complex shapes
modeling complex simulators
modeling physical systems
modeling complex interactions
modeling supercritical systems
modeling complex fluids
modeling concurrent systems
modeling environmental systems
modeling entire systems
modeling such systems
modeling biological systems
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