Simulation has several limitations, including the reliance on accurate models and assumptions; if these are flawed, the results can be misleading. Additionally, simulations can be computationally intensive, requiring significant time and resources, which may limit their practicality for large-scale or complex systems. Furthermore, they may not account for all real-world variables or unforeseen events, leading to oversimplified outcomes that do not fully represent reality. Lastly, interpreting simulation results often requires expertise, making them less accessible to non-specialists.
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