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Model World: A Model Is a Model Is a Model Is a Model

Interfaces, 1989
This occasional column will address issues — both real and imaginary — that impinge on what I think is the main activity of management science/operations research: building models that attempt to describe the world as it was, as it is, and as it will be.
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On models and modelling

World Englishes, 2020
AbstractWorld Englishes (WE) research has been invested in getting to grips with the diversity of different Englishes and in making sense of their structural properties. The first research strand led to a proliferation of theoretical models, the second to comparative research relying increasingly on sophisticated statistical modelling.
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Models, Models, and Models

Metaphilosophy, 2013
AbstractMichael Dummett famously maintained that analytic philosophy was simply philosophy that followed Frege in treating the philosophy of language as the basis for all other philosophy (1978, 441). But one important insight to emerge from computer science is how difficult it is to animate the linguistic artifacts that the analysis of thought ...
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Models, Models, Models…

1996
When looking at relationships between two quantities, we are often interested in fitting a mathematical function to describe this relationship. Statisticians call these functions models. This activity uses data on levels of carbon dioxide in the atmosphere at a site in Hawaii to illustrate fitting a model to data.
Jeffrey A. Witmer   +3 more
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Models and Role Models

Caries Research, 2015
Developing experimental models to understand dental caries has been the theme in our research group. Our first, the pH-cycling model, was developed to investigate the chemical reactions in enamel or dentine, which lead to dental caries. It aimed to leverage our understanding of the fluoride mode of action and was also utilized for the formulation of ...
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Models, modelling and modellers: an application to risk analysis

European Journal of Operational Research, 1994
Risk analysis has become increasingly important with the emergence of new, unknown and potentially dangerous technologies. Risk analysis builds on the use of models. If the models are valid representations of reality, they can be used to predict and thus also to minimize the risks.
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On models and modeling

Applied Mathematics and Computation, 1993
The argument is made that biological modeling should recognize limitation simultation and reductionism.
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Model is as model does

Nature Cell Biology, 2000
Kids love models, and on page 792 of this issue Shimizu et al. give us an early Christmas present. Using plastic replicas of the CheA, CheW, and Tsr protein structures, they assembled the pieces like a jigsaw puzzle.
Brian J. Cantwell, Michael D. Manson
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Models of Modelling

2016
The widely recognised importance of models in scientific practice suggests that they should have an equally important role in science education. The meanings attached to the word ‘model’ in the philosophical literature and the psychological literature leads to two canonical interpretations: the ‘models as representations’ view and the ‘models as ...
John K. Gilbert, Rosária Justi
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Adaptive Model Theory: Modelling the Modeller

ECMS 2013 Proceedings edited by: Webjorn Rekdalsbakken, Robin T. Bye, Houxiang Zhang, 2013
Adaptive Model Theory is a computational theory of the brain processes that control purposive coordinated human movement. It sets out a feedforward-feedback optimal control system that employs both forward and inverse adaptive models of (i) muscles and their reflex systems, (ii) biomechanical loads on muscles, and (iii) the external world with which ...
Peter D. Neilson, Megan D. Neilson
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