Thesis: Mathematic v. Conceptual Modeling Limitations of Models

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Mathematic v. conceptual modeling

Limitations of Models

Mathematical models are often the most straightforward and simple forecasters of future outcomes, but they have severe limitations as well. Not only do most mathematical models contain a certain degree of uncertainty or risk, but there is also the risk of the model itself failing (Kay 2006). Mathematical models are unable to cope with non-quantifiable input, and thus are limited both in their use and by the increased risk that a key factor has been overlooked within the model itself (Kay 2006). Conceptual models are inherently adaptable, more able to account for the complexities of the real world and less fixed in their operations (Aspinall 2007). Conceptual models can often be used as a starting point for interactive with the model's user and the available information, allowing the model to be adjusted and still effective when situations change, as opposed to mathematical models which often have to be scrapped in their entirety when information or situations change (Aspinall 2007).

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APA Format

Mathematic v. Conceptual Modeling Limitations of Models.  (2009, July 30).  Retrieved September 20, 2019, from

MLA Format

"Mathematic v. Conceptual Modeling Limitations of Models."  30 July 2009.  Web.  20 September 2019. <>.

Chicago Format

"Mathematic v. Conceptual Modeling Limitations of Models."  July 30, 2009.  Accessed September 20, 2019.