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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 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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Mental models, conceptual models, and modelling

International Journal of Science Education, 2000
The study of mental representations constructed by students in their interactions with the world, its phenomena and artefacts, constitutes an important line of research in science education, according to what has been published in recent issues of the most important journals in the area.
Ileana Maria Greca   +1 more
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Modeling

Journal of Aerosol Medicine and Pulmonary Drug Delivery
Modeling is coming to the fore as it is now widely accepted and indeed expected during drug discovery and development. Modeling integrates knowledge, increases understanding and provides the ability to predict an outcome either before it occurs or when it is not possible to measure.
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Models, Models Everywhere…Model Selection

2020
There are situations where many potential explanatory variables can be measured, but there is no way to know which of those are actually most helpful in predicting the response. Many methods may be employed to either narrow the field or provide a predictive model when it is very difficult to select or eliminate any regressors.
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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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Models, Models and More Models

2011
This chapter investigates the main approaches used to analyze competition for investment through investment incentives. We begin with general approaches to assessing the use of incentives, including Prisoners’ Dilemma, models in the Tiebout (1956) tradition, incentives as necessary to generate spillovers and the global vs. local efficiency matrix. Next,
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Model Cities, Model Airplanes, Model Trains

Journal of the American Institute of Planners, 1969
Abstract Currently Model Cities programs offer some hope for rebuilding ghettos through community participation. This article looks at the East New York Housing and Urban Planning Committee's experiences developing a community plan for the Brooklyn Model Cities Program.
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Modelling Texts, Modelling Editions, Modelling Documents

2014
Modelling can be considered one of the – if not ‘the’ – Digital Humanities primitives. The activity of analysing and modelling some Humanities domain or domains with the purpose of making them processable by a computer represents one of the defining characteristics of DH. The lectures will focus on different aspects of modelling and on how these can be
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