Modelling and representing: An artefactual approach to model-based representation

By Tarja Knuuttila. 2011

313 citations recorded by the source corpus.

Subfields: Global and Planetary Change, History and Philosophy of Science, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/9db44b951ea52de9c24032dc1190c8491b6cfcae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Radoslaw Martin Cichy
2. Daniel Kaiser

In History and Philosophy of Science

1. Radoslaw Martin Cichy
2. Daniel Kaiser

In Information Systems and Management

1. Radoslaw Martin Cichy
2. Daniel Kaiser

Citations in the corpus

• Deep Neural Networks as Scientific Models. (2019, background): “Analogously, two models of the same phenomenon, such as a DNN and a mathematical – theoretical model, may enable and restrain different ways of thinking, respectively [1,24,50].”