Springer Handbook of Model-Based Science (Springer Handbooks)
| Author | : | |
| Rating | : | 4.97 (703 Votes) |
| Asin | : | 3319305255 |
| Format Type | : | paperback |
| Number of Pages | : | 1179 Pages |
| Publish Date | : | 2015-12-16 |
| Language | : | English |
DESCRIPTION:
Barbara Tversky, Stanford University and Columbia Teachers College). Otávio Bueno, University of Miami, Dept. “What the editors have created is more than a snapshot of a growing, sophisticated, multifaceted field: they provided a rich map (a model!) of a sprawling, genuinely interdisciplinary, eclectic, and endlessly fascinating nested series of domains of research.” (Prof. of Philosophy & Editor-in-Chief Synthese)“The diverse thoughtful and thought-provoking contributions reveal fascinating intricacies in model-based reasoning, the nuances of finding suitable representations (models) and the complexities of using them to draw inferences. They will be a continuing source of inspiration.” (Prof. The many insights in each contribution and in the section overviews cannot
Lorenzo Magnani, philosopher, epistemologist, and cognitive scientist, is a professor of Philosophy of Science at the University of Pavia, Italy, and the director of its Computational Philosophy Laboratory. His research interests include philosophy of science, niche construction theories, cognitive science of religion, social epistemology and philosophy of technology. He was recently invited to s
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.. 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. This also makes it highly accessible to an audience of schol