How are simulation results useful for informing decisions about the real world?
ID: 177981 • Letter: H
Question
How are simulation results useful for informing decisions about the real world? Because simulation models precisely replicate real-world biology, the results they produce accurately predict everything that will happen in the real world. Because simulation models capture the essential features of real-world biology, the results they produce always accurately predict basic outcomes in the real world. Because simulation models capture key features of real-world biology, the results they produce can lead to reasonable predictions and further hypotheses about the real world. Because simulation models are not necessarily based on real-world biology, they can generate predictions about species that aren't yet well studied in the real world.Explanation / Answer
Q6. Simulation results are useful for informing decisions about the real world. As simulation is the imitation of the operation of a real-world process or system over time. The act of simulating something first requires that a model be developed; this model represents the key characteristics or behaviors/functions of the selected physical or abstract system or process (J. Banks; , 2001).
According to, (Gadkar, 2016), in the article, “A SixStage Workflow for Robust Application of Systems Pharmacology”.
The Common features of QSP approaches are
A coherent mathematical representation of key biological connections in the system of interest, consistent with the current state of knowledge.
A general prioritization of necessary biological detail over parsimony, potentially including detail at various physiological scales.
Consideration of complex systems dynamics resulting from biological feedbacks, crosstalk, and redundancies.
Integration of diverse data, biological knowledge, and hypotheses.
A representation of the pharmacology of therapeutic interventions or strategies.
The ability to quantitatively explore and test hypotheses and alternate scenarios via biologybased simulation.
Based on the above information the option: Simulation models capture key features of the real world biology, the results they produce can lead to reasonable predictions and further hypothesis about the real world is correct. As we can test hypotheses on the basis of simulation
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