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The paper is an extension of the authors Kasperska E., Kasperski A., Bajon T. and Marjasz R. work (Kasperska et al., 2015) in the area of modeling and simulation of ecosystems on the base of "prey-predator" system dynamics model (presented on DSTA conference in 2015). The problem of connecting simulation with optimization is specially expanded to include both types of optimization - the policy optimization and the calibration. This new policy uses different set of parameters, model criteria and set of optimized parameters. The comparison between sensitivity analysis, optimization results and gaming outcome gives us a new view of learning process used by decision makers, model builders and students. We use the possibilities of visualization of simulation that are given by simulation language Vensim, and we try to apply calibration to detect the conditions, that stabilized that ecosystem and, what is quite new in the literature of this old, build the simulation game on base of that model to examine different scenarios of the human intervention in that ecosystem. At the end some conclusions are formulated.
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