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Predicting the Future: Completing Models of Observed Complex Systems
Henry Abarbanel
€ 128.03
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Description for Predicting the Future: Completing Models of Observed Complex Systems
hardcover. This book discusses model building and evaluation across disciplines, by means of an exact path integral for transferring information from observations to a model of the observed system. Offers examples in geosciences, nonlinear electrical circuits and more. Series: Understanding Complex Systems. Num Pages: 254 pages, 6 black & white illustrations, 91 colour illustrations, biography. BIC Classification: PBW; PHS; PHU; PSAN. Category: (P) Professional & Vocational. Dimension: 243 x 160 x 20. Weight in Grams: 524.
Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, 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 explored.
Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, 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 explored.
Product Details
Format
Hardback
Publication date
2013
Publisher
Springer United States
Number of pages
254
Condition
New
Series
Understanding Complex Systems
Number of Pages
238
Place of Publication
New York, NY, United States
ISBN
9781461472179
SKU
V9781461472179
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Henry Abarbanel
Henry Abarbanel is a new member of the Springer Complexity Board. He is a Professor of Physics at UCSD in La Jolla, CA. http://neurograd.ucsd.edu/faculty/detail.php?id=19
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