As a noun, model has specific meanings in certain fields, derived from its original meaning of "structural design or layout":
A physical model (most commonly referred to simply as a model but in this context distinguished from a conceptual model) is a smaller or larger physical representation of an object, person or system. The object being modelled may be small (e.g., an atom) or large (e.g., the Solar System) or life-size (e.g., a fashion model displaying clothes for similarly-built potential customers).
The geometry of the model and the object it represents are often similar in the sense that one is a rescaling of the other. However, in many cases the similarity is only approximate or even intentionally distorted. Sometimes the distortion is systematic, e.g., a fixed scale horizontally and a larger fixed scale vertically when modelling topography to enhance a region's mountains.
An architectural model permits visualization of internal relationships within the structure or external relationships of the structure to the environment. Another use is as a toy.
Instrumented physical models are an effective way of investigating fluid flows for engineering design. Physical models are often coupled with computational fluid dynamics models to optimize the design of equipment and processes. This includes external flow such as around buildings, vehicles, people, or hydraulic structures. Wind tunnel and water tunnel testing is often used for these design efforts. Instrumented physical models can also examine internal flows, for the design of ductwork systems, pollution control equipment, food processing machines, and mixing vessels. Transparent flow models are used in this case to observe the detailed flow phenomenon. These models are scaled in terms of both geometry and important forces, for example, using Froude number or Reynolds number scaling (see Similitude). In the pre-computer era, the UK economy was modelled with the hydraulic model MONIAC, to predict for example the effect of tax rises on employment.
A conceptual model is a theoretical representation of a system, e.g. a set of mathematical equations attempting to describe the workings of the atmosphere for the purpose of weather forecasting.8 It consists of concepts used to help understand or simulate a subject the model represents.
Abstract or conceptual models are central to philosophy of science,910 as almost every scientific theory effectively embeds some kind of model of the physical or human sphere. In some sense, a physical model "is always the reification of some conceptual model; the conceptual model is conceived ahead as the blueprint of the physical one", which is then constructed as conceived.11 Thus, the term refers to models that are formed after a conceptualization or generalization process.1213
According to Herbert Stachowiak, a model is characterized by at least three properties:14
For example, a street map is a model of the actual streets in a city (mapping), showing the course of the streets while leaving out, say, traffic signs and road markings (reduction), made for pedestrians and vehicle drivers for the purpose of finding one's way in the city (pragmatism).
Additional properties have been proposed, like extension and distortion16 as well as validity.17 The American philosopher Michael Weisberg differentiates between concrete and mathematical models and proposes computer simulations (computational models) as their own class of models.18
According to Bruce Edmonds, there are at least 5 general uses for models:19
Oxford English Dictionary, Oxford University Press, doi:10.1093/OED/3984201854, retrieved 1 July 2023 https://doi.org/10.1093/OED/3984201854 ↩
Merriam-Webster, Merriam-Webster's Collegiate Dictionary, Merriam-Webster. http://unabridged.merriam-webster.com/collegiate/ ↩
Tatomir, A.; et al. (2018). "Conceptual model development using a generic Features, Events, and Processes (FEP) database for assessing the potential impact of hydraulic fracturing on groundwater aquifers". Advances in Geosciences. 45: 185–192. Bibcode:2018AdG....45..185T. doi:10.5194/adgeo-45-185-2018. hdl:20.500.11820/b83437b4-6791-4c4c-8f45-744a116c6ead. https://doi.org/10.5194%2Fadgeo-45-185-2018 ↩
Wunsch, G. (1994). "Theories, models, and data". Demografie. 36 (1): 20–29. PMID 12346076. /wiki/PMID_(identifier) ↩
"modelworker.com". Archived from the original on 2007-10-17. https://web.archive.org/web/20071017020950/http://www.modelworker.com/history.html ↩
Walker, Harriet (4 May 2009). "Fabulous faces of fashion: A century of modelling". The Independent. Archived from the original on 2011-05-28. Retrieved 2017-09-05. https://web.archive.org/web/20110528025946/http://www.independent.co.uk/life-style/fashion/features/fabulous-faces-of-fashion-a--century-of-modelling-1678417.html ↩
Chang and Keisler, p. 1 https://books.google.com/books?id=uiHq0EmaFp0C&pg=PA1 ↩
Forecast models, Met Office. https://www.metoffice.gov.uk/services/government/defence-and-security/models ↩
Ibrahim A. Halloun, Modeling Theory in Science Education (2007), p. 36. ↩
Herbert Stachowiak: Allgemeine Modelltheorie, 1973, S. 131–133. ↩
"TRICK: An Easy Acronym to Conceptualize Digital Twin". automation.com. Retrieved 2024-11-05. https://www.automation.com/en-us/articles/february-2024/trick-easy-acronym-conceptualize-digital-twin?listname=Automation%20&%20Control%20News%20&%20Articles#authorInfo ↩
Thalheim: Towards a Theory of Conceptual Modelling. In: Journal of Universal Computer Science, vol. 16, 2010, no. 20, S. 3120 ↩
Dietrich Dörner: Thought and Design – Research Strategies, Single-case Approach and Methods of Validation. In: E. Frankenberger et al. (eds.): Designers. The Key to Successful Product Development. Springer-Verlag, Berlin et al. 1998, S. 3–11. ↩
M. Weisberg: Simulation and Similarity - using models to understand the world. Oxford University Press, New York 2013 ↩
Edmonds, Bruce (2017). "Different Modelling Purposes". In Bruce Edmonds; Ruth Meyer (eds.). Simulating Social Complexity: A Handbook. Understanding Complex Systems. Cham: Springer International Publishing. pp. 39–58. doi:10.1007/978-3-319-66948-9_4. ISBN 978-3-319-66948-9. Retrieved 2025-03-26. 978-3-319-66948-9 ↩