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In this paper, the authors present a technique to model different aspects of the same system with different formalisms, while keeping the various models tightly integrated with one another. In a multi-paradigm approach to modeling, formalisms with different natures are used in combination to describe complementary parts and aspects of the system. This can have a beneficial impact on the modeling activity, as different paradigms can be better suited to describe different aspects of complex systems. While each paradigm provides a different view on the many facets of the system, it is of paramount importance that a coherent comprehensive model emerges from the combination of the various partial descriptions.
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