Lorenzo Magnani – Springer Handbook of Model-Based Science (2017)

Автор: Lorenzo Magnani
Название книги: Springer Handbook of Model-Based Science
Формат: PDF
Жанр: Моделирование
Страницы: 1179
Качество: Изначально компьютерное, E-book

This handbook offers the first comprehensive reference guide to the interdisciplinary field of model-based reasoning. It highlights the role of models as mediators between theory and experimentation, and as educational devices, as well as their relevance in testing hypotheses and explanatory functions. The Springer Handbook merges philosophical, cognitive and epistemological perspectives on models with the more practical needs related to the application of this tool across various disciplines and practices. The result is a unique, reliable source of information that guides readers toward an understanding of different aspects of model-based science, such as the theoretical and cognitive nature of models, as well as their practical and logical aspects. The inferential role of models in hypothetical reasoning, abduction and creativity once they are constructed, adopted, and manipulated for different scientific and technological purposes is also discussed. Written by a group of internationally renowned experts in philosophy, the history of science, general epistemology, mathematics, cognitive and computer science, physics and life sciences, as well as engineering, architecture, and economics, this Handbook uses numerous diagrams, schemes and other visual representations to promote a better understanding of the concepts. This also makes it highly accessible to an audience of scholars and students with different scientific backgrounds. All in all, the Springer Handbook of Model-Based Science represents the definitive application-oriented reference guide to the interdisciplinary field of model-based reasoning.
Contents
Theoretical Issues in Models
Theoretical and Cognitive Issues on Abduction and Scientific Inference
The Logic of Hypothetical Reasoning, Abduction, and Models
Models in Mathematics
Model-Based Reasoning in Cognitive Science
Modelling and Computational Issues
Models in Physics, Chemistry and Life Sciences
Models in Engineering, Architecture, and Economical and Human Sciences