The infographic below defines the most prominent modeling concepts and the relations between them. Make sure to zoom in to see the detailed descriptions or download a high-resolution version here.
This diagram is inspired by:
- Babuska, I., & Oden, J. T. (2004). Verification and validation in computational engineering and science: basic concepts. Computer Methods in Applied Mechanics and Engineering, 193(36), 4057-4066.
- Oden, T., Moser, R., & Ghattas, O. (2010). Computer predictions with quantified uncertainty, part I. SIAM News, 43(9), 1-3.
- Oden, T., Moser, R., & Ghattas, O. (2010). Computer predictions with quantified uncertainty, part II. SIAM News, 43(10), 1-4.
- Oden, J. T. (2009). A brief view of verification, validation, and uncertainty quantification. A presentation to the Board of Mathematical Sciences and their Applications, National Research Council, Washington, DC.
If you are interested in details regarding modeling, the following works are recommended:
- Oberkampf, W. L., & Roy, C. J. (2010). Verification and validation in scientific computing. Cambridge University Press. Available as ebook through TU/e library.
- Tolk, A. (Ed.). (2012). Ontology, epistemology, and teleology for modeling and simulation: Philosophical foundations for intelligent M&S applications (Vol. 44). Springer Science & Business Media. Available as ebook through TU/e library.