Predicting the Future
Completing Models of Observed Complex Systems
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Author
Contributions
- SpringerLink (Online service) - Contributor
Publication
2013 - Imprint: Springer, New York, NY, United States
Language
English
Word Count
59,500 words, Guess
Page Count
238 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivepredictingfuture00abar
- ISBN-139781461472186
- ISBN-101461472180
- Better World Books9781461472186
- Open LibraryOL27082384M
Classifications
- DDC621
- LCCQC174.7-175.36
- LCCQ295
Description
Predicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through the development of an exact path integral for use in transferring information from observations to a model of the observed system. Through many illustrative examples drawn from models in neuroscience, fluid dynamics, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is investigated. Using highly instructive examples, the problems of data assimilation and the means to treat them are clearly illustrated. This book will be useful for students and practitioners of physics, neuroscience, regulatory networks, meteorology and climate science, network dynamics, fluid dynamics, and other systematic investigations of complex systems.
Subjects
Series Statement
- Understanding Complex Systems
Other Editions
- Predicting the Future: Completing Models of Observed Complex Systems
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