Why is this model predictable or unpredictable

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Reference no: EM131330426

Computer modeling and chaos theory Chaos theory was developed from traditional equation-based modeling, but one of its inspirations came from computer modeling. Edward Lorenz discovered that mathematical systems could produce very different results depending on the initial conditions that the systems have. He realized this because he tried to restart a computer model of the weather system halfway through a run with a new set of parameters that lacked a small amount of precision from his previous set of parameters. The resulting model behaved very different from his original model. Agent-based models can exhibit this same " sensitivity to initial conditions. " For instance, examine the Sunflower model (found in the Biology section of the models library). This is an agent-based model of how rows of sunflower seeds are added to a sunflower. Run the model with the default settings. Now change one of the parameters. Run the model again. Repeat this process. As you keep manipulating the parameters, do you eventually get to the point where you can predict the behavior of the model with new parameters? Explain your answer. Why is this model predictable or unpredictable?

Reference no: EM131330426

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