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Talk:Modeling and simulation

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This is an old revision of this page, as edited by BU RoBOT (talk | contribs) at 22:38, 22 June 2016 (top: Auto-assessment of article class. Editors are encouraged to manually assess articles. See User:BU_RoBOT/autoassess for more info.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Data Intensive

The article for systems engineering makes good points about data and complexity that I think apply here as well, maybe more so here. I believe this article needs to explain in some detail what data is required for a given fidelity level of decision, and how it must be acquired, organized, managed, and so on. 70.247.162.84 (talk) 20:09, 14 September 2012 (UTC)[reply]


Simulation vs. Modeling

In my opinion this article does not do a good job of explaining simulation vs. models. In my opinion, the keys to differentiating simulation from modeling is that simulation is how you a) implement it on the computer and b) show how things change as a function of time. The model is the collection of algorithms, rules, and business rules. The simulation is that model implemented on the computer(s), and in particular how the modeled system changes over time. The simulation can be a stochastic (typically monte carlo with random occurrences typically being based on probabilities) or non-stochastic (deterministic, same result every time). 108.174.243.190 (talk) 14:35, 18 May 2015 (UTC)[reply]