Modelling Nature: An Opinionated Introduction to Scientific Representation

Roman Frigg and James Nguyen analyze how idealized structures and physical objects function as proxies for physical reality. The text identifies five core problems of representation, including how models denote targets and how researchers translate model results into real-world claims. It provides a technical critique of existing frameworks like the similarity and structuralist views before presenting the authors’ own DEKI account. This specific framework explains representation through four stages: denotation, exemplification, keying up, and imputation, bridging the gap between abstract mathematics and concrete systems.

This book serves advanced students and philosophers of science seeking a systematic map of the literature on scientific modeling. Readers gain a technical vocabulary to evaluate how maps, simulations, and equations relate to the world. By following the authors’ arguments, the reader acquires a clear method for distinguishing between a model’s internal properties and the information it provides about its target. It clarifies the overlap between scientific representation and aesthetic depiction, offering a unified logic for how one thing stands for another.

Deep and outward-looking; a demanding read.

Best for readers like The Systems Thinker. Which reader are you?