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By Levent Yilmaz, Tuncer Oren

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Extra resources for Agent-Directed Simulation and Systems Engineering (Wiley Series in Systems Engineering and Management)

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1 Model Analysis There are two types of model analysis: descriptive and evaluative analyses. Descriptive model analysis is model characterization. Evaluative model analysis is model evaluation. 9, model characterization consists of model comprehensibility and model usability. 10 summarizes model evaluation, or the evaluative analysis of models. 14 outline model evaluation (i. , evaluative model analysis) with respect to modeling formalisms, another model, real systems, and the goal of the study.

The advantage of performing the experiments on a model rather than on the real system is also well established. 3, the use of simulation for decision support includes its use for prediction (of behavior and/or performance), evaluation of alternatives, sensitivity analysis, evaluation (of behavior and/or performance) of engineering design, virtual prototyping, testing, planning, acquisition, and proof of concept. Use of Simulation for Understanding In analysess of mostly natural problems, simulation is a very powerful technique used to understand them.

Hence, with the given state, simulation runs can be performed until the desired output is obtained. Then the inputs used correspond to the necessary control. As a very important and fundamental contribution to M&S, system sciences provide the basis for modeling formalisms as well as for symbolic processing of models for a wide variety of dynamic systems. , 1984). Advances in discrete event systems specification (DEVS) by Zeigler (1984) and many valuable variant theories based on DEVS provide a robust theoretical background for the simulation of complex systems modeled as discrete event systems.

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