Predicting the Future - Completing Models of Observed Complex Systems (Paperback, Softcover reprint of the original 1st ed. 2013)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Understanding Complex Systems
Release date:	August 2016
First published:	2013
Authors:	Henry Abarbanel
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	238
Edition:	Softcover reprint of the original 1st ed. 2013
ISBN-13:	978-1-4939-5238-0
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
LSN:	1-4939-5238-2
Barcode:	9781493952380

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